SAVYA SACHI

@lnmipat.ac.in

ASSISTANT PROFESSOR COMPUTER APPLICATION
L N MISHRA INSTITUTE OF ECONOMIC DEVELOPMENT AND SOCIAL CHANGE PATNA

SAVYA SACHI


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https://researchid.co/savyasachi51
Dr. Savya Sachi
Assistant Professor, Department of Computer Science
L. N. Mishra Institute of Economic Development and Social Change, Patna, Bihar
Dr. Savya Sachi is a dedicated academician with over 10 years of teaching experience across various esteemed institutions. Currently serving as an Assistant Professor in the Department of Computer Science at L. N. Mishra Institute of Economic Development and Social Change, Patna, he has made significant contributions to both teaching and research.
Dr. Savya Sachi has authored more than 30 research papers published in reputed journals indexed in SCI, SCOPUS, Web of Science, and UGC CARE. He has also written several academic books including Software Engineering, Computer Networks, and Programming for Problem Solving (PPS). In addition to his scholarly work, he holds multiple patents and copyrights.
His primary areas of expertise include Network and Web Security, Data Mining, Computer Networks, and Image Processing.

EDUCATION

BE(IT), M.TECH(CTA), Ph. D. CSE

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Artificial Intelligence, Computer Networks and Communications
37

Scopus Publications

319

Scholar Citations

11

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • An IoT-Based Traffic Management System Using a Mean Fitness-Oriented Dragonfly Algorithm for Traffic Flow Prediction
    Padmalosani Dayalan, Putchala Bhaskara Rao, Ramesh Kumar, Nishesh Nigam, Vasujadevi Midasala, Savya Sachi, Vandana Roy
    Ingenierie Des Systemes D Information, 2025
  • Optimized Protected Data Communication in WSN Using Fusion Pretended Tempering with Lion Swarm Optimization and Improved Elliptic Curve Cryptography
    Saurabh Sahu, Anil Pratap Singh, Banothu Seva, Vandana Rathod, M. Shamila, Savya Sachi
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
    A new Hybrid Simulated Annealing with Lion Swarm Optimization Algorithm (HSALSOA) combined with Modified Elliptic Curve Cryptography (ECC) is introduced to support safer sharing of data on wireless sensor networks (WSNs). The method suggests solutions for saving energy, managing crowded networks and ensuring dependable transmission in 50 sensor nodes. HSALSOA is applied to choose the best forwarder node using energy (E), delay (d) and fitness values as selection criteria. Results from the simulation show that the use of isocrete-path offers a significant improvement: The delay is now 0.02 sec, compared to ACO (0.11 sec) and throughput has improved to 0.88. We see that network lifetime reached an improved 6.8 units, compared to 0.8 units achieved by ACO. Because of multipath routing, devices avoid channel overloads and because of ECC, encryption errors are prevented. CBC with XOR padding is used in ECC-based signcryption with symmetric key encapsulation, increasing both confidentiality and data authenticity. As a result, HSALSO-ECC enhances both function and safety in real-time WSN projects centered on supporting agriculture, showing that it is a useful answer for IoT networks.
  • Privacy-Preserving NLP: Federated Learning for On-Device Language Model Fine-Tuning
    Ishta Rani, Laxmi Vanam, Dipesh Jagdish Kashiv, Amit Ojha, Arpit Jain, Savya Sachi
    2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025
    Privacy-preserving natural language processing (NLP) is important for maintaining data confidentiality in applications with sensitive information. We investigate the use of federated learning (FL) to support on-device fine-tuning of language models (LMs), allowing collaborative model improvements without requiring raw user data centralization. In this paradigm, pre-trained language models are shipped to user devices and locally fine-tuned on private texts for taskspecific adaptation. Rather than sharing raw data stored on the local devices, devices compute model updates, and then only the encrypted gradients or model parameters are communicated to the centralized server. The server accumulates these updates to compose a global model, which is re-distributed to devices repeatedly in an iterative sequence, in an attempt to improve the performance of the network step by step. This federated framework tackles privacy issues by leaving sensitive data on the device and exploiting diverse linguistic distributions for strong personalization and generalization. Experiments on language modeling and text classification benchmarks verify its effectiveness by showing that FL-based fine-tuning provides similar performance as the traditional centralized fine-tuning while only experiencing a small accuracy decrement. Encrypted search, moreover, was enriched with features such as differential privacy and secure aggregation to provide further protection against leaks of sensitive information. On-device AI personalization at scale is based on the privacy-preserving NLP pipeline, and the potential to develop safe, user-centered language applications in the fields of healthcare, finance, and mobile communication, etc.
  • Improving the Performance of Convolutional Neural Networks for Image Classification
    Laxmi Vanam, Savya Sachi, Hina Gandhi, Sanjeev Kumar Shah, Madhusudana Kamballi, Punit Goel
    2025 2nd International Conference on New Frontiers in Communication Automation Management and Security Iccams 2025, 2025
    Image classification is a crucial part of computer vision that has applications in security, autonomous systems and healthcare. Enhanced classification accuracy has been achieved by Convolutional Neural Networks (CNN) by autonomous learning of hierarchical feature representations in images. The study's primary objective is to advance and improve the architecture of convolutional neural networks in order to achieve higher level accuracy in image classification. Multiple vital measures are used including augmenting the data, normalization in batches, adaptive learning rate scheduling and dropout to avoid overfitting and enhance the method's generalizability. In classification studies carried out on typical datasets like CIFAR-10 and MNIST, the results show that the method outperforms conventional neural network algorithms. In order to attain better accuracy, the research stresses the necessity for deeper approaches and more sophisticated training process. The suggested method offers a scalable and reliable answer to many practical image classification problems making a significant contribution to deep learning and computer vision
  • Bias Mitigation in Generative Chatbots Through Adversarial Debiasing
    Parveen Kumar, Shanmugaraja Krishnasamy Venugopal, Savya Sachi, Sunjhla Handa, Sarvesh Kumar Gupta, Arpit Jain
    2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025
  • Enhancing Software Deployment Pipelines with the Application of ML Techniques
    Sourabh Sanghi, Shrinidhi Kota Shreeshapuranik, Na Kyung Kim, Devanand Ramachandran, Savya Sachi, Niharika Singh
    2025 2nd International Conference on New Frontiers in Communication Automation Management and Security Iccams 2025, 2025
    Continuous integration and deployment (CI/CD) pipelines, which are infamous for their slowness, frequent failures, and protracted build times, are a crucial part of the modern software development process. This study introduces a framework that uses machine learning (ML) to predictably boost pipeline performance. A Support Vector Machine technique for pipeline failure prediction will be developed as part of this effort. The method will also optimize resource allocation to decrease build times and provide dynamic framework for continuous development of CI/CD pipelines. This study assumes a comprehensive review of the literature and introduces a new approach based on the support vector machine (SVM) technology. The results demonstrate that the framework optimizes memory utilization and CPU, reduces build time by 33% and declines test success and failure rates by 60%. It also dramatically lowers resource consumption. The results showed that current DevOps approaches are able to tackle long-standing issues with CI/CD since they are intelligently scalable. This study laid the framework for future work in software engineering workflows including adaptive systems by introducing the idea of ML to the CI/CD process with the goal of improving pipeline efficacy and reliability.
  • Multimodal Emotion Recognition in Conversational AI Using Speech and Text Fusion
    Sunjhla Handa, Ramesh Kumar, Shrinidhi Kota Shreeshapuranik, Sourabh Sanghi, Arpit Jain, Savya Sachi
    2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025
    One such factor is multimodal affect recognition to enhance conversational AI, since systems may be better contextually able to gauge the emotion of the user when presented with multimodal information. This paper offers a multimodal emotion recognition in conversational artificial intelligence based on deep learning involving the fusion of speech and text modalities. Model Our suggested model uses the state-of-the-art pre-trained language models (such as BERT) to extract textual features of the user turns, and CNNs or transformer-based encoders to process the speech signals, extracting the prosodic and paralinguistic features. Emotion classification is performed in the joint representation to make the system exploit the strengths of the speech and text that are mutually complementary. The model is proved to be efficient because the large-scale experiments are conducted on the IEMOCAP and MELD test sets. Results show that our model has also been found to be superior to the unimodal baselines when it comes to the recognition of emotions particularly in the challenging conversation environments. Even better, the suggested architecture is not merely solving the issue of modality imbalance and fusion schemes, but also facilitates real-time inference, which is encouraging when used in the framework of real-life conversational agents. It is a multimodal methodology as it enables dialogue systems grounded in empathy and emotional intelligence and leads to improved user satisfaction and interaction with AI worldview.
  • IoT Based Health Monitoring System with AI Powered Disease Prediction
    Sarvesh Kumar Gupta, Vamsi Krishna Gottipati, Savya Sachi, Ashish Gupta, Sanjeev Kumar Shah, Om Goel
    2025 2nd International Conference on New Frontiers in Communication Automation Management and Security Iccams 2025, 2025
    The COVID-19 pandemic wreaked havoc on many people's lives and livelihoods, as well as on many parts of the economy. As the number of patients increased at an exponential rate, the already-stressed healthcare industry encountered new problems. As a result, virtual consultation, telemedicine, and teleconsultation grew in popularity to adhere to social distance standards. This paper aims to grow a new system that uses the most effective machine learning (ML) algorithm to predict a patient's disease based on their signs, recordings of audio, available medical records, and other health histories. The goal is to address the urgent need for more "remote" discussions in the "post-COVID" era, and the Internet of Things (IoT) shows great promise in this regard. Sensors that are based on Arduino and ESP8266 may also be used to measure some of the indications, like fever and low oxygen levels in the blood, among others. It then offers for the suitable treatment and diagnosis of the condition based on its database, which is continually updated and may be designed as a platform that is either based on an application or a website.
  • Data Lake Validation Strategies: Ensuring Quality in Data Warehousing Pipelines
    Savya Sachi, Ravi Kiran Pagidi, Shilesh Karunakaran, Sarvesh Kumar Gupta, Suraj Dharmapuram, Om Goel
    2025 International Conference on Intelligent and Secure Engineering Solutions Cises 2025, 2025
    The most recent trend is storing vast quantities of raw and unstructured data. Nonetheless, this still places enormous challenges on the quality and reliability of the data in these lakes to support data warehousing pipelines. Any inaccurate, incomplete, or outdated data used in business analytics can produce incorrect insights and decisions, resulting in potential losses for organizations. So, it is essential to enforce data quality and make sure data warehousing pipelines are operating to their best by introducing data lake validation best practices. A critical approach that is often used is data profiling, where we analyze the data to detect patterns, relationships, and anomalies. This is the main reason why it is always a good practice to review the data first since this enables data engineers to gather information about the nature of the data and see its quality. Moreover, data can be cleaned by using techniques to find and correct errors in data, such as missing data or inconsistencies. The reason is that this step allows for the cleansing of data and ultimately ensures that downstream data processing can be done accurately.
  • An Operative Expectation of Parkinson’s Ailment Using a Hybrid Machine Learning and Artificial Intelligence Systems
    Senthil Athithan, Savya Sachi, Ajay Kumar Singh
    SN Computer Science, 2024
  • An Overview of Software-Defined Network (SDN) Frameworks
    Savya Sachi, Mohtab Alam, Senthil Athithan
    Software Defined Network Frameworks Security Issues and Use Cases, 2024
  • HDL Environment for the Synthesis of 2-Dimensional and 3- Dimensional Network on Chip Mesh Router Architecture
    Shweta Kumari, Kapil Rajput, Gurwinder Singh, Arpit Jain, Savya Sachi, Manika Manwal
    Proceedings of International Conference on Communication Computer Sciences and Engineering Ic3se 2024, 2024
  • Fog Restoration in Hazy Images using Deep Transfer Learning
    Navin Kumar Agrawal, Viboo Sharma, Pranita Singh, Savya Sachi, Arpit Jain, Md Mohtab Alam
    2024 International Conference on Smart Devices Icsd 2024, 2024
  • Hy-PSO: Hybrid Algorithm for Lung Cancer Diagnosis and Prognosis
    Savya Sachi, Jaishree Jain, Arpit Jain, Umesh Kumar Patel, Amrita Bhatnagar, Abhishek Jain
    2024 International Conference on Smart Devices Icsd 2024, 2024
  • Imagine Segmentation for Brain Tumor Prognosis
    Amit Chouksey, Savya Sachi, Senthil Athitan, Rajeev Shrivastava, Amol Purohit, Sheo Kumar
    Icccmla 2024 6th International Conference on Cybernetics Cognition and Machine Learning Applications, 2024
  • Securing the Digital Commerce Spectrum and Cyber Security Strategies for Web, E-commerce, M-commerce, and E-mail Security
    , Savya Savya, , , , , , R. Mohanraj, K. Sharada, Savya Sachi, K. Neelima, Punyala Ramadevi
    Journal of Cybersecurity and Information Management, 2024
  • A FRAMEWORK FOR MORPHOLOGICAL OPERATIONS USING COUNTER HARMONIC MEAN
    Bojan Z. Knezevic, Radovan Jalic, Dragan Erceg
    Proceedings on Engineering Sciences, 2024
  • An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment
    Sachikanta Dash, Sasmita Padhy, S Anjali Devi, Savya Sachi, K Abhimanyu Kumar Patro
    Expert Systems with Applications, 2023
  • Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers
    Senthil Athithan, Savya Sachi, Ajay Kumar Singh
    SN Computer Science, 2023
  • Data Backup and Recovery in Cloud Storage with Data Security
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • A Technique for Improving High-Speed Dynamic Networks using IoT
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • Twitter Fake News Detection by Using Xlnet Model
    Senthil Athithan, Savya Sachi, Ajay Kumar Singh, Arpit Jain, Divya, Yogesh Kumar Sharma
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
  • Fake Currency Detection using Ensemble Learning
    Ashok Kumar, Savya Sachi, Anshoo Bhatia, Pravesh Belwal, Santosh Kumar, Vivek Bhatnagar
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
  • AI - Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant
    Neetu, Babita Rani Radwal, Savya Sachi, Santosh Kumar, Arpit Jain, Satendra Kumar
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
  • Hate Speech Detection Using the GPT-2 and Natural Language Processing
    Savya Sachi, Ajay Kumar Singh, Arpit Jain, Suman Devi, Yogesh Kumar Sharma, Senthil Athithan
    1st International Conference of Intelligent Methods Systems and Applications Imsa 2023, 2023
  • Highly Secured Image Fringe Steganography
    Savya Sachi, Santosh Kumar, Ashok Kumar, Vivek Bhatnagar, Abhishek Jain, Vibhoo Sharma
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
  • Copy and Move Forged Image Detection by Deep Learning
    Yogesh Kumar Sharma, Senthil Athithan, Savya Sachi, Ajay Kumar Singh, Arpit Jain, Suman Devi
    2023 World Conference on Communication and Computing Wconf 2023, 2023
  • A Discrete-Time Image Hiding Algorithm Transform Using Wavelet and SHA-512
    Santosh Kumar, Savya Sachi, Neetu, Avnish Kumar, Abhishek Jain, M.S.R. Prasad
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
  • Fire Detection Using Image Processing Technique
    Arpit Jain, Yogesh Kumar Sharma, Savya Sachi, Divya, Senthil Athithan, Ajay Kumar Singh
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
  • Detection of Online Humiliation Through Social Media Platforms Using AI Inspired Algorithms
    Anshoo Bhatia, Avnish Kumar, Neetu, Ashok Kumar, Savya Sachi, Santosh Kumar
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
  • Multi Objective Optimization Based Land Cover Classification Using NSGA-II
    Ajay Kumar Singh, Arpit Jain, Divya, Yogesh Kumar Sharma, Senthil Athithan, Savya Sachi
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
  • Network on Chip for 2D Mesh Toplological Structure in HDL Enviornment
    Santosh Kumar, Ashok Kumar, Vikrant Rana, Vibhoo Sharma, Vivek Bhatnagar, Savya Sachi
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
  • A Symmetric Encryption Scheme with Multi User Searchable Options in the Cloud Based Applications
    Abhishek Dubey, Vijay Kumar, Priyank Singhal, Savyasachi, Atowar ul Islam, R Kuppuchamy
    4th International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2022, 2022
  • Ardino software based wireless sensors network system for disaster management
    Savya Sachi, Senthil A
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • An analytical research on robotics and wireless sensors for disaster management
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • ICME for process scale-up: Importance of vertical and horizontal integration of models
    Gerald Tennyson, Rishabh Shukla, Saurabh Mangal, Savya Sachi, Amarendra K Singh
    Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering Icme 2015, 2015

RECENT SCHOLAR PUBLICATIONS

  • Optimized Protected Data Communication in WSN Using Fusion Pretended Tempering with Lion Swarm Optimization and Improved Elliptic Curve Cryptography
    S Sahu, AP Singh, B Seva, V Rathod, M Shamila, S Sachi
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
    2025
  • An IoT-Based Traffic Management System Using a Mean Fitness-Oriented Dragonfly Algorithm for Traffic Flow Prediction.
    P Dayalan, PB Rao, R Kumar, N Nigam, V Midasala, S Sachi, V Roy
    Ingénierie des Systèmes d'Information 30 (11) , 2025
    2025
  • Impact of Bihar Entrepreneurship Scheme on Migrant Worker Retention and Socio-Economic Development: A Comprehensive Analysis
    DSS Dr. Ritu Narayan, Vibhash Ranjan
    Journal of Asia Entrepreneurship and Sustainability 21 (03), 1-5 , 2025
    2025
  • Multimodal Emotion Recognition in Conversational AI Using Speech and Text Fusion
    S Handa, R Kumar, SK Shreeshapuranik, S Sanghi, A Jain, S Sachi
    2025 International Conference on Sustainability, Innovation & Technology … , 2025
    2025
  • Bias Mitigation in Generative Chatbots Through Adversarial Debiasing
    P Kumar, SK Venugopal, S Sachi, S Handa, SK Gupta, A Jain
    2025 International Conference on Sustainability, Innovation & Technology … , 2025
    2025
  • Privacy-Preserving NLP: Federated Learning for On-Device Language Model Fine-Tuning
    I Rani, L Vanam, DJ Kashiv, A Ojha, A Jain, S Sachi
    2025 International Conference on Sustainability, Innovation & Technology … , 2025
    2025
  • Data Lake Validation Strategies: Ensuring Quality in Data Warehousing Pipelines
    S Sachi, RK Pagidi, S Karunakaran, SK Gupta, S Dharmapuram, O Goel
    2025 International Conference on Intelligent and Secure Engineering … , 2025
    2025
  • Enhancing Software Deployment Pipelines with the Application of ML Techniques
    S Sanghi, SK Shreeshapuranik, NK Kim, D Ramachandran, S Sachi, ...
    2025 2nd International Conference on New Frontiers in Communication … , 2025
    2025
    Citations: 1
  • Improving the Performance of Convolutional Neural Networks for Image Classification
    L Vanam, S Sachi, H Gandhi, SK Shah, M Kamballi, P Goel
    2025 2nd International Conference on New Frontiers in Communication … , 2025
    2025
  • IoT Based Health Monitoring System with AI Powered Disease Prediction
    SK Gupta, VK Gottipati, S Sachi, A Gupta, SK Shah, O Goel
    2025 2nd International Conference on New Frontiers in Communication … , 2025
    2025
    Citations: 1
  • An Operative Expectation of Parkinson’s Ailment Using a Hybrid Machine Learning and Artificial Intelligence Systems
    S Athithan, S Sachi, AK Singh
    SN Computer Science 5 (8), 1146 , 2024
    2024
    Citations: 1
  • Imagine Segmentation for Brain Tumor Prognosis
    A Chouksey, S Sachi, S Athitan, R Shrivastava, A Purohit, S Kumar
    2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine … , 2024
    2024
  • Efficient Protocol Selection and Estimation in Wireless Sensor Networks.
    P Sinha, MM Alam, S Sachi, N Priya, V Kumar
    Journal of Computational Analysis & Applications 33 (2) , 2024
    2024
  • MAKING USE OF MANUFACTURING PROCESS VARIATIONS: MACHINE LEARNING APPROACHES FOR EFFICIENT MEDICAL AND BIOLOGICAL STUDY-BASED IMAGE COMPRESSION AND LOSSLESS TRANSMISSION.
    S Sachi, R Ranjan, S Kumari, MM Alam
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
  • MACHINE LEARNING APPROACHES FOR PREDICTING PROTEINPROTEIN INTERACTIONS.
    S Kumar, S Sachi, RM Tugnayat
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
  • INTEGRATING BIG DATA ANALYTICS IN THE STUDY OF ANIMAL POPULATION DYNAMICS.
    R Kumar, RK Roshan, A Kumar, S Sachi, MM Alam
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
  • A SURVEY ON PROTEIN-TO-PROTEIN INTERACTION PREDICTION USING TRANSFER LEARNING.
    A Alam, S Sachi, S Kumar
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
    Citations: 1
  • INTEGRATING COMPUTATIONAL METHODS IN PURE AND APPLIED ZOOLOGY: ENHANCING SPECIES CONSERVATION AND BEHAVIORAL STUDIES.
    S Sachi, S Kumar
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
    Citations: 1
  • SYSTEMS BIOLOGY APPROACHES TO UNDERSTANDING GENE REGULATORY NETWORKS IN DEVELOPMENTAL PROCESSES FOR PREDICTING PROTEIN-PROTEIN INTERACTIONS.
    S Sachi, A Alam
    Biochemical & Cellular Archives 24 (2) , 2024
    2024
  • Securing the Digital Commerce Spectrum and Cyber Security Strategies for Web, E-commerce, M-commerce, and E-mail Security.
    R Pachlor, R Mohanraj, K Sharada, S Sachi, K Neelima, P Ramadevi
    Journal of Cybersecurity & Information Management 14 (1) , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant
    BR Radwal, S Sachi, S Kumar, A Jain, S Kumar
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023
    Citations: 54
  • An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment
    S Dash, S Padhy, SA Devi, S Sachi, KAK Patro
    Expert systems with applications 231, 120622 , 2023
    2023
    Citations: 43
  • HDL environment for the synthesis of 2-dimensional and 3-dimensional network on chip mesh router architecture
    S Kumari, K Rajput, G Singh, A Jain, S Sachi, M Manwal
    2024 International conference on communication, computer sciences and … , 2024
    2024
    Citations: 19
  • Fire detection using image processing technique
    A Jain, YK Sharma, S Sachi, S Athithan, AK Singh
    2023 3rd International Conference on Technological Advancements in … , 2023
    2023
    Citations: 19
  • A Discrete-Time Image Hiding Algorithm Transform Using Wavelet and SHA-512
    S Kumar, S Sachi, A Kumar, A Jain, MSR Prasad
    2023 3rd International Conference on Technological Advancements in … , 2023
    2023
    Citations: 19
  • Multi objective optimization based land cover classification using NSGA-II
    AK Singh, A Jain, YK Sharma, S Athithan, S Sachi
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 19
  • Implementation of ABC & WOA-based security defense mechanism for distributed denial of service attacks
    S Devi, YK Sharma, S Athithan, S Sachi, AK Singh, A Jain
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 19
  • Twitter fake news detection by using Xlnet model
    S Athithan, S Sachi, AK Singh, A Jain, YK Sharma
    2023 3rd International Conference on Technological Advancements in … , 2023
    2023
    Citations: 15
  • Fog Restoration in Hazy Images using Deep Transfer Learning
    NK Agrawal, V Sharma, P Singh, S Sachi, A Jain, MM Alam
    2023 International Conference on Smart Devices (ICSD), 1-5 , 2024
    2024
    Citations: 13
  • Hate speech detection using the GPT-2 and natural language processing
    S Sachi, AK Singh, A Jain, S Devi, YK Sharma, S Athithan
    2023 Intelligent Methods, Systems, and Applications (IMSA), 276-280 , 2023
    2023
    Citations: 12
  • Copy and Move Forged Image Detection by Deep Learning
    YK Sharma, S Athithan, S Sachi, AK Singh, A Jain, S Devi
    2023 World Conference on Communication & Computing (WCONF), 1-6 , 2023
    2023
    Citations: 12
  • Hy_PSO: Hybrid Algorithm for Lung Cancer Diagnosis and Prognosis
    S Sachi, J Jain, A Jain, UK Patel, A Bhatnagar, A Jain
    2023 International Conference on Smart Devices (ICSD), 1-5 , 2024
    2024
    Citations: 11
  • Icme for Process Scale‐Up: Importance of Vertical and Horizontal Integration of Models
    G Tennyson, R Shukla, S Mangal, S Sachi, AK Singh
    Proceedings of the 3rd World Congress on Integrated Computational Materials … , 2015
    2015
    Citations: 11
  • Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers
    AKS Senthil Athithan, Savya Sachi
    S N COMPUTER SCIENCE 4 (5), 1-11 , 2023
    2023
    Citations: 9
  • A framework for morphological operations using counter harmonic mean
    S Sachi, D Ganesh, L Bhagyalakshmi, R Tiwari, SK Suman, SP Manikanta, ...
    Proceedings on Engineering Sciences 6 (4), 1531-1540 , 2024
    2024
    Citations: 6
  • Network on chip for 2d mesh toplological structure in hdl enviornment
    S Kumar, A Kumar, V Rana, V Sharma, V Bhatnagar, S Sachi
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023
    Citations: 6
  • Detection of Online Humiliation Through Social Media Platforms Using AI Inspired Algorithms
    A Bhatia, A Kumar, A Kumar, S Sachi, S Kumar
    2023 3rd International Conference on Technological Advancements in … , 2023
    2023
    Citations: 6
  • An analysis of election prediction using social media data network: a review
    S Nayeem, S Sachi, R Kumar
    Journal of Aeronautical Materials 43 (01), 290-298 , 2023
    2023
    Citations: 4
  • Classification of robots by environment and mechanism of interaction
    S Sachi, N Kumar
    International Journal of Advanced Research in Science, Communication and … , 2020
    2020
    Citations: 3
  • Software-Defined Network Frameworks: Security Issues and Use Cases
    M Kaur, V Jain, P Nand, N Rakesh
    CRC Press , 2024
    2024
    Citations: 2