Comparative Overview of FER Methods for Human-Robot Interaction Using Review Analysis Jitendra Sheetlani, Mohit Kadwal, Sumanshu Sharma, Sanat Jain, Shrikant Telang Robotic Process Automation, 2023 Facial expressions can convey indications of a person's emotional state, which together with the voice, language, hands, and body language, makes up the basic system of communication between people in a social setting. Personal Face Recognition is one of the most powerful and challenging activities in social media. Generally, facial expressions are a natural and direct way for people to express their feelings and intentions. Facial expressions are important aspects of non-verbal communication. Facial expressions can be used for expressing human emotion. Over the past few decades, FER facial recognition (FER) has become an exciting area of research and has made great strides in computer vision. FER is the recognition of a person's emotional state associated with biometric factors. Creating a personal FER system based on a machine is a daunting task. Various FER systems are developed by analyzing facial muscle movements and skin flexibility based on algorithms. In the standard FER system, advanced algorithms work on a blocked website. In an unrestricted environment, the efficiency of existing algorithms is limited due to certain problems during image acquisition. This paper describes the Analysis of Face Expression Recognition (FER) techniques for emotion detection [1] which include the three major stages of preprocessing, feature extraction, and classification. This analysis explains the various types of FER methods in the review-based technique. The performance of various FER methods is compared based on the accuracy level of the algorithm. This paper uses a review analysis approach for emotion detection by facial expression recognition methods.
The Classification and Segmentation of Pneumonia using Deep Learning Algorithms: A Comparative Study Vishnu Kumar Mishra, Megha Mishra, Jitendra Sheetlani, Anoop Kumar, Priya Pachouri, Thirunagari Nagapraveena, Amulya Puttamallaiah, Mandala Naga Sravya, Kimidi Parijatha International Journal of Experimental Research and Review, 2023 The paper uses convolutional neural networks (CNNs) to analyze radiography pictures and discriminate between areas afflicted by pneumonia and normal lung tissue. A sizable dataset of annotated chest X-rays is used to train the deep learning model, which enables it to pick up on complex patterns and characteristics linked to pneumonia. Pneumonia is a significant respiratory disease that affects a large number of individuals worldwide. Timely and accurate diagnosis of pneumonia plays a crucial role in effective treatment and management of the disease. We evaluate the performance of several up-to-date convolution neural network (CNN) architectures, namely ResNet-50, VGG-16, and DenseNet-121, then compare their results with traditional machine learning classifiers. Recent advancements in deep learning methods have shown accurate results in the investigation and diagnosis of medical image data, including the detection of pneumonia. This paper examines different deep-learning methods for categorizing pneumonia from lung X-ray imagery. Our results show that deep learning techniques performed better than conventional machine learning techniques in classifying pneumonia, with an estimated accuracy of 95% across all of the examined CNN models. These results demonstrate the potential of deep learning algorithms to significantly improve the accuracy and effectiveness of pneumonia diagnosis, supporting physicians in making knowledgeable decisions about patient care.
Internet of Things: A Survey on Air Pollution Monitoring, Challenges and Applications Sarita Jiyal, Jitendra Sheetlani, Rakesh Kumar Saini Proceedings of the 2022 7th International Conference on Computing Communication and Security Icccs 2022 and 2022 4th International Conference on Big Data and Computational Intelligence Icbdci 2022, 2022 Due to urbanization and the development of cities, many forests have been cut down for the accommodation and conveyance of human beings. Demand for vehicles is growing exponentially due to the excessive use of resources. Due to how air pollution occurs from vehicles, we are using resources excessively, which is not good for us and our future generations. We are burning fossil fuel and coal for factories, which causes air pollution due to many diseases that occur in human beings, such as respiratory diseases and cardiovascular diseases. Smart sustainable cities are a good concept for every country using the internet of things. In this paper, we discussed air pollution and how it can be monitored using the internet of things. We use gas sensors and dust sensors, which are placed in street lights and signals along city roads, to sense the data. The Arduino is used for analysing the data; the data is displayed on an LCD display and sent to the cloud. People can know the status of air pollution using an Android application.
Predict the Performance of Students and School on Educational Database (U-DISE) Sheeraz Ahmad Peerzada, Neelamadhab Padhy, Jitendra Sheetlani, Gh. Hassan 2020 International Conference on Computer Science Engineering and Applications Iccsea 2020, 2020 In India, advancement in technology is imperative for the betterment of the education system. For improving the nature of education given to the understudies, the School must make a collective climate for Technological Changes. The Education System generates a large amount of data related to different indicators involved in the U-DISE+ and SDMIS database of the Education System. However, these indicators are considered as very important for quality Education. The goal of this paper is to anticipate the execution of School and understudies based on UDISE Plus information by utilizing different classification Algorithms.
Camera-based document image scrambling for security in cloud computing environment International Journal of Innovative Technology and Exploring Engineering, 2019
An evolutionary based heuristic approach towards energy efficient software defined data centers International Journal of Innovative Technology and Exploring Engineering, 2019
Design and implementation of an algorithm for mitigating the congestion in mobile ad Hoc network International Journal on Emerging Technologies, 2019
A generalized method for securing the cloud Nagesh Salimath, Jitendra Sheetlani International Conference on Recent Innovations in Signal Processing and Embedded Systems Rise 2017, 2018
A Deep Learning Framework for Early Detection of Potato Plant Diseases HP Singh, A Mewada, LS Songare, P Rane, J Sheetlani IJRITCC 11 (9), 1466-1472 , 2023 2023 Citations: 1
Comparative Overview of FER Methods for Human‐Robot Interaction Using Review Analysis J Sheetlani, M Kadwal, S Sharma, S Jain, S Telang Robotic Process Automation, 189-196 , 2023 2023 Citations: 2
The classification and segmentation of pneumonia using deep learning algorithms: a comparative study VK Mishra, M Mishra, J Sheetlani, A Kumar, P Pachouri, T Nagapraveena, ... Int. J. Exp. Res. Rev 36, 76-88 , 2023 2023 Citations: 6
A Framework for Enhancing the Energy Efficiency of IoT Devices in 5G Network S Kasliwal, J Sheetlani, P Kawadkar International Journal of Advanced Computer Technology 11 (6), 1-6 , 2022 2022
Internet of Things: A Survey on Air Pollution Monitoring, Challenges and Applications S Jiyal, J Sheetlani, RK Saini 2022 7th International Conference on Computing, Communication and Security … , 2022 2022 Citations: 7
An Overview of Techniques, Applications of Deep Learning Algorithms with Deep Neural Network (Dnn) Architectures B Moharana, J Sheetlani, JP Patra Computer Integrated Manufacturing Systems 28 (10), 208-215 , 2022 2022
A Critical Analysis of Map Reduce Optimisation for Data Set Mining BB Biswal, J Sheetlani, JP Patra Computer Integrated Manufacturing Systems 28 (10), 216-224 , 2022 2022
Dynamic Education Background: Procure the Maximum Initiation from PBL for Education Naïve Bayes Algorithm for Machine Learning VK Mishra, M Mishra, J Sheetlani, RD Sah, A Mishra, S Kurariya Data, Engineering and Applications: Select Proceedings of IDEA 2021, 129-140 , 2022 2022
Impact of Digital India Initiative and Artificial Intelligence on Education Sector. SS Jadimath, J Sheetlani NeuroQuantology 20 (10), 5319-5327 , 2022 2022
Effectiveness of Digital India and Artificial Intelligence in Indian Education System. J Sheetlani, SS Jadimath NeuroQuantology 20 (10), 5312-5319 , 2022 2022 Citations: 1
OVERVIEW OF GREEN IOT TECHNOLOGY AND ITS APPLICATION SK Nayak, J Sheetlani, R Rautray, M Tiwari Journal of Optoelectronics Laser 42 (1) , 2022 2022
Data center network energy consumption minimization: a hierarchical FAT-tree approach J Mishra, J Sheetlani, KHK Reddy International Journal of Information Technology 14 (1), 507-519 , 2022 2022 Citations: 14
An Integrated Technique for Security of Cellular 5G-IoT Network Healthcare Architecture M Verma, J Sheetlani, V Mishra, M Mishra Pervasive Computing and Social Networking: Proceedings of ICPCSN 2021, 549-563 , 2022 2022 Citations: 1
Novel Architecture for 5G-IOT Wireless Technology S Kasliwal, J Sheetlani International Journal of Innovative Research in Computer and Communication … , 2021 2021
Vehicle to vehicle communication using cloud data system A Vanama INFORMATION TECHNOLOGY IN INDUSTRY 9 (2), 1359-1367 , 2021 2021 Citations: 1
WITHDRAWN: Word embedding generation for Urdu language using Word2vec model SH Kumhar, MM Kirmani, J Sheetlani, M Hassan Materials Today: Proceedings , 2021 2021 Citations: 32
Vehicular cloud data collection for intelligent transportation system A Vanama, J Sheetlani Turkish Journal of Computer and Mathematics Education 12 (11), 3561-3566 , 2021 2021 Citations: 3
Secure data access control with cipher text update and computation outsourcing in fog computing for internet of things SJ Vali, J Sheetlani Turkish Journal of Computer and Mathematics Education 12 (2), 1592-1597 , 2021 2021 Citations: 1
Privacy-Preserving data aggregation in internet of things (iot): an overview MR Mohapatra, J Sheetlani, RR Patra International Journal of Advanced Research in Computer Science 11 (5), 17-19 , 2020 2020 Citations: 1
A NOVEL FRAMEWORK FOR PRIVACY-PRESERVING USING DATA AGGREGATION IN INTERNET OF THINGS (IOT). MR Mohapatra, J Sheetlani, RR Patra International Journal of Advanced Research in Computer Science 11 (5) , 2020 2020
MOST CITED SCHOLAR PUBLICATIONS
Smart intelligent computing and applications SC Satapathy, V Bhateja, S Das Proceedings of the second international conference on SCI 1 , 2018 2018 Citations: 96
Fingerprint based automatic human gender identification J Sheetlani, R Pardeshi Int. J. Comput. Appl 170 (7), 1-4 , 2017 2017 Citations: 40
WITHDRAWN: Word embedding generation for Urdu language using Word2vec model SH Kumhar, MM Kirmani, J Sheetlani, M Hassan Materials Today: Proceedings , 2021 2021 Citations: 32
Review of medical disease symptoms prediction using data mining technique RD Sah, DJ Sheetalani IOSR Journal of Computer Engineering 19 (3), 59-70 , 2017 2017 Citations: 31
Software Quality Prediction Using Machine Learning Application V Naiyer, J Sheetlani, HP Singh Smart Intelligent Computing and Applications: Proceedings of the Third … , 2019 2019 Citations: 24
Concurrency issues of distributed advance transaction process S Jitendra, VK Gupta Research Journal of Recent Sciences … , 2012 2012 Citations: 16
Data center network energy consumption minimization: a hierarchical FAT-tree approach J Mishra, J Sheetlani, KHK Reddy International Journal of Information Technology 14 (1), 507-519 , 2022 2022 Citations: 14
Essential-replica for face detection in the large appearance variations A Kumar, A Singhal, J Sheetlani International Journal of Pure and Applied Mathematics 118 (20), 2665-2674 , 2018 2018 Citations: 10
Analyzing a cattle health monitoring system using IoT and its challenges in smart agriculture BS Thakur, J Sheetlani Intelligent System Design: Proceedings of Intelligent System Design: INDIA … , 2020 2020 Citations: 9
ICT: A super highway to reaching the unreached rural communities of india MAD Newase, DJ Sheetlani, DRD Patil IOSR Journal of Computer Engineering (IOSR-JCE) 18 (6), 08-11 , 2016 2016 Citations: 9
Sentiment analysis of urdu language on different social media platforms using word2vec and lstm SH Kumhar, MM Kirmani, J Sheetlani, M Hassan Turk. J. Comput. Math. Educ.(TURCOMAT) 11 (3), 1439-1447 , 2020 2020 Citations: 8
A review and analysis on knowledge discovery and data mining techniques B Singh, V Dubey, J Sheetlani International Journal of Advanced Technology and Engineering Exploration 5 … , 2018 2018 Citations: 8
Migraine (headaches) disease data classification using data mining classifiers RD Sah, J Sheetlani, DR Kumar, IN Sahu J Res Env Earth Sci 3, 10-16 , 2017 2017 Citations: 8
Internet of Things: A Survey on Air Pollution Monitoring, Challenges and Applications S Jiyal, J Sheetlani, RK Saini 2022 7th International Conference on Computing, Communication and Security … , 2022 2022 Citations: 7
Application of modified K means clustering algorithm in segmentation of medical images of brain tumor S Iqbal, J Sheetlani Biosci. Biotechnol. Res. Asia 14, 735-739 , 2017 2017 Citations: 7
Recent trends in incremental clustering: A review N Chopade, J Sheetlani IOSR Journal of Computer Engineering (IOSR-JCE) 19, 19-24 , 2017 2017 Citations: 7
A literature review on impact of information and communication technology tools on rural society of India AD Newase, J Sheetlani, S Sai, RD Patil Indian Journal of Computer Science and Engineering (IJCSE) 8 (3), 235-240 , 2017 2017 Citations: 7
Concurrency Control and Securit VK Gupta, S Jitendr Research Journal of Engineering 1 (2), 70-73 , 2012 2012 Citations: 7
The classification and segmentation of pneumonia using deep learning algorithms: a comparative study VK Mishra, M Mishra, J Sheetlani, A Kumar, P Pachouri, T Nagapraveena, ... Int. J. Exp. Res. Rev 36, 76-88 , 2023 2023 Citations: 6
Scrambling and descrambling of document image for data security in cloud computing N Salimath, S Mallappa, N Padhy, J Sheetlani Smart Intelligent Computing and Applications: Proceedings of the Third … , 2019 2019 Citations: 6
