bhaskar reddy bada

@spechyd.ac.in

Professor in Electronics and communication engineering
St.Peter's Engineering College, Hyderabad

bhaskar reddy bada


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https://researchid.co/bhaskar.reddy876

EDUCATION

Ph. D from Sri Krishnadevaraya University, Anantapur,in Electronics and communication(Digital image processing)
Master Of Engineering from TCE, Madurai,Madurai kamaraj University, Madurai in Communication systems
Bachelor of Technology rom KSRMCE Sri Venkateswara University, Tirupati in Electronics and communication Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Signal Processing, Electrical and Electronic Engineering, Multidisciplinary, Computer Vision and Pattern Recognition
14

Scopus Publications

144

Scholar Citations

8

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • FinFET-based fully differential Butterworth filter using a multiple-input dynamic threshold OTA for low-power biomedical signal processing
    M. Venkata Sudhakar, Y. Ravi Sankaraiah, B. Bhaskar Reddy, P. Raghava Reddy
    Analog Integrated Circuits and Signal Processing, 2026
  • A rotation invariant Co-ordinate convolutional neural network based crime prediction utilizing Jarrett-Butterfly optimization algorithm
    B. Mythily Devi, B. Bhaskar Reddy, I. Sharath Chandra, N.V.K. Maha Lakshmi, C. Laxmi
    Expert Systems with Applications, 2025
  • IMAGE DEHAZING USING FAST ITERATIVE DOMAIN GUIDED IMAGE FILTERING WITH GRAY WORLD OPTIMIZATION
    Bhaskar Reddy Bada, Mahaboob Basha S, Imran Khan Patan, Eramma Boda
    Proceedings on Engineering Sciences, 2025
    When remote sensing photos are taken, they are often captured in hazy circumstances such as fog, snow, thin clouds, dust, and other similar situations, which causes the contrast in the image to decrease. The term "dehazing" refers to the process of removing haze or other atmospheric pollutants from a photograph. The goal of this approach is to improve the overall quality of the image and to make it more appealing to the customer. However, the majority of the procedures that are considered to be state of the art were not successful in completely removing the atmospheric effects from the picture. This article is primarily focused on the construction of a gray world optimization (GWO) algorithm for the purpose of providing an accurate assessment of ambient light. This is done in order to find a solution to the issue. A unique approach for dark channel prior-based transmission map estimation and refining is also developed as part of this study. This method is applied in a pixel-wise and patch-wise way. Because of this, the atmospheric effects are resolved in each and every patch that is based on pixels. In conclusion, a rapid iterative domain guided image filtering (ID-GIF) technique was created in order to achieve the goal of obtaining smoother output with dehazing qualities. Compared to the methodologies that are considered to be state of the art, the findings of the simulation demonstrate that the work that is being suggested offers superior quantitative and qualitative outcomes.
  • Artificial Intelligence-Powered Chatbots for Waste Management: A Vision for Circular and Smart Cities
    P. S. Ramesh
    Advances in Nonlinear Variational Inequalities, 2025
    Innovative solutions are needed to address the major issues associated with the efficient management and recycling of garbage in metropolitan environments. To overcome these obstacles, this study abstract investigates the use of artificial intelligence (AI) in trash management. Municipalities and recycling centers can increase garbage collection efficiency, improve sorting accuracy, forecast waste generation patterns, inform the public, identify illicit dumping, and advance a circular economy by utilizing AI-driven solutions. Smart garbage collection is one important area where AI shows its potential. We used the study of these five chatbots to help us construct the processes for gathering data, instruction, developing, and testing a chatbot using different natural language processing (NLP) techniques, which are covered in the second section of this work. We also present some conclusions and comments on all facets of the topic to evaluate if they might be useful to us in future research. Additionally, the successful development of a chatbot devoted to the circular economy will be the aim of our research on this subject in the future.
  • Classification Approach for Face Spoof Detection in Artificial Neural Network Based on IoT Concepts
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Single Image Dehazing based on Multi-Scale Feature Fusion Under Adam-Optimization
    B Bhaskar Reddy, Doaa Saadi Kareem, Ahmed Read Al-Tameemi, Palavalasa Tejesh, Rerupalli Naveen, Gundeti SaiTeja
    2024 International Conference on Augmented Reality Intelligent Systems and Industrial Automation Ariia 2024, 2024
    To address the issues of insufficient highlight extraction in existing dehazing algorithms and an abundance of image data, a novel approach based on multi-scale feature fusion is put forth. First, U-Net’s fundamental convolutional layer is enhanced with updated fully connected residual blocks to reduce computational complexity. To extract minute detail from the images, a self-convolution module that makes use of self-attention mechanisms is also presented. Moreover, scale-gated units are used to merge feature maps from various levels in order to maximize feature reuse and reduce information loss. A unique loss function is presented that combines minimum absolute error and multi-scale structural similarity to enhance the recovered images’ subjective impression. Synthetic haze datasets are used for experimental assessments, which show notable gains over alternative neural network architectures. In particular, the suggested technique improves the dehazed images’ signal-to-noise ratio by 18.33% and multi-scale structural similarity by an average of 4.31%. These findings show that the suggested method successfully reduces problems such strong edge artifacts, halo effects, and color distortion that are frequently seen in fuzzy photos. Moreover, following haze reduction, the recovered photos show good subjective recognition, underscoring the usefulness of the suggested technique.
  • Encrypting Image and Transferring Secure Data Over the Internet Using Cryptography
    B Bhaskar Reddy, Amal Hasan Jumaa, Bonthala Rakesh, Vamshi Ganna, Duppala Deepika, Zainab Alassedi
    2024 International Conference on Augmented Reality Intelligent Systems and Industrial Automation Ariia 2024, 2024
    Hacking has emerged as a significant challenge in today’s digital era, making it increasingly difficult to securely communicate or transmit data over the internet. To mitigate these security risks, techniques like image steganography and cryptography have been employed. Over the years, advancements in information security have led to the development of these two prominent methods for safe data transfer. Steganography, in particular, involves hiding information within seemingly empty multimedia elements, while cryptography focuses on encrypting the data itself.
  • Teaching learning-based brain storm optimization tuned Deep-CNN for Alzheimer’s disease classification
    Y. Mohana Roopa, B. Bhaskar Reddy, Meenigi Ramesh Babu, R. Krishna Nayak
    Multimedia Tools and Applications, 2023
  • Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
    B. Bhaskar Reddy, M. Venkata Sudhakar, P. Rahul Reddy, P. Raghava Reddy
    Multimedia Systems, 2023
  • Prediction Evaluation of Gene Ontology Using Support Vector Machine
    Y Mohana Roopa, B Bhasker Reddy, K. Sree Latha, M Ramesh Babu
    International Journal on Recent and Innovation Trends in Computing and Communication, 2023
    The present state of sequenced programs requires the assignment of gene product functions in a timely, accurate and trustworthy manner. Many approaches to large-scale label designs have been developed. On the other hand, these approaches can only be used on a limited number of sub-sets. Their conclusions are not formalized. On the other hand, such approaches can only be used on a limited number of subsets, as their conclusions are not standardized. Annotation was supplied using Gene Ontology (GO) or categorization of valid or incorrect prediction using Support Vector Machines (SVM). A large database was used to assess the system's overall effectiveness. Reliability prediction was cross-validated organization by organization, yielding an average accuracy of 74% of all test cycles and 80%. The verification results revealed that the predictive efficacy was not dependent on the micro-organism because it could duplicate the high-quality automatic manual annotation. We used our trained categorization method to annotate Xenopuslaevis sequences, and greater than half of the known expressed genome was functionally annotated. We gave more than double the number of contigs with excellent annotations of high brightness compared to the already accessible annotations, and we also allocated a confidence score to each anticipated Gene Ontology (GO).
  • Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique
    K. Reddy Madhavi, Mohd Nasrun Mohd Nawi, B. Bhaskar Reddy, K. Baboji, Kakarla Hari Kishore, S.V. Manikanthan
    Measurement Sensors, 2023
  • The AODV routing protocol with built-in security to counter blackhole attack in MANET
    Prabhakar Reddy B, Bhaskar Reddy B, Dhananjaya B
    Materials Today Proceedings, 2021
  • An integrated technique for haze removal from real-time images
    International Journal of Advanced Science and Technology, 2020
  • Effective compression of digital images using spiht coding with selective decomposition bands
    V. V. Satyanarayana Tallapragada, B. Bhaskar Reddy, V. Ramamurthy, Jaya Krishna Sunkara
    Lecture Notes in Electrical Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Single Image Dehazing based on Multi-Scale Feature Fusion Under Adam-Optimization
    BB Reddy, DS Kareem, AR Al-Tameemi, P Tejesh, R Naveen, G SaiTeja
    2024 International Conference on Augmented Reality, Intelligent Systems, and … , 2024
    2024
  • Encrypting Image and Transferring Secure Data Over the Internet Using Cryptography
    BB Reddy, AH Jumaa, B Rakesh, V Ganna, D Deepika, Z Alassedi
    2024 International Conference on Augmented Reality, Intelligent Systems, and … , 2024
    2024
    Citations: 1
  • Artificial Intelligence-Powered Chatbots for Waste Management: A Vision for Circular and Smart Cities
    DBBR Dr.P.S.Ramesh
    Advances in Nonlinear Variational Inequalities 28 (2) , 2024
    2024
    Citations: 2
  • Classification Approach for Face Spoof Detection in Artificial Neural Network Based on IoT Concepts
    DAS Dr. B. Bhaskar Reddy, Dr. Syed Gilani Pasha,Dr. M. Kameswari,Dr. Ravi ...
    International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING … , 2024
    2024
    Citations: 9
  • Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
    PRR Dr.B.Bhaskar Reddy,M.Venkata sudhakar, P.Rahul Reddy
    MultimediaSystems , 2023
    2023
    Citations: 9
  • Teaching learning-based brain storm optimization tuned Deep-CNN for Alzheimer’s disease classification
    RKN Dr.B.Bhaskar Reddy,mohana Roopa,M.Ramesh babu
    Multimedia Tools and Applications’ , 2023
    2023
    Citations: 11
  • Prediction Evaluation of Gene Ontology Using Support Vector Machine
    MRB Y Mohana Roopa, B Bhasker Reddy, K. Sree Latha
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 11
  • Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique
    SVM Dr.B.Bhaskar Reddy,k. Madhavi Reddy,Mohd Nasrun,hari kishore
    Measurement: Sensors , 2023
    2023
    Citations: 30
  • The AODV routing protocol with built-in security to counter blackhole attack in MANET
    B Reddy, B Dhananjaya
    Materials Today: Proceedings 50, 1152-1158 , 2022
    2022
    Citations: 37
  • Utilization of IoT and Image Processing to Create a Smart Vehicle Registry
    BB Reddy, PI Khan
    Journal of Science & Technology (JST) 6 (6), 31-40 , 2021
    2021
  • Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness
    BB Reddy, PI Khan, B Dhananjaya
    Journal of Science & Technology (JST) 6 (5), 132-137 , 2021
    2021
  • The AODV routing protocol with built-in security to counter blackhole attack in MANET
    Dr.B.Bhaskar Reddy,B.dhanajaya, B.Prabhakara Reddy
    Materials Today: Proceedings Education , 2021
    2021
  • Power Line Communication Technology-Based Advanced Patient Health Monitoring System
    DBD Dr.B. Bhaskar Reddy, P. Imran Khan
    Journal of Cardiovascular Disease Research, ISSN: 0975-3583 12 (06), 1713-1716 , 2021
    2021
  • Based on Sparse Representation and Feature Extraction in Clinical Image Fusion
    DBD B. Bhaskar Reddy, P. Imran Khan
    Journal of Cardiovascular Disease Research, ISSN:0975-3583 12 (06), 1707-1712 , 2021
    2021
  • Detection of tumors from MRI brain images using CNN with extensive augmentation
    YM Roopa, BB Reddy
    Turkish Journal of Computer and Mathematics Education 12 (6), 50-55 , 2021
    2021
    Citations: 8
  • Utilization of IoT and Image Processing to Create a Smart Vehicle Registry
    DBD B. Bhaskar Reddy, P. Imran Khan
    Turkish Online Journal of Qualitative Inquiry (TOJQI) 11 (04), 1768-1777 , 2020
    2020
  • Effective Compression of Digital Images Using SPIHT Coding with Selective Decomposition Bands
    VV Satyanarayana Tallapragada, B Bhaskar Reddy, V Ramamurthy, ...
    Advances in Electrical and Computer Technologies: Select Proceedings of … , 2020
    2020
    Citations: 2
  • Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness (MCMF)
    DBD B. Bhaskar Reddy, P. Imran Khan
    Turkish Online Journal of Qualitative Inquiry (TOJQI) 11 (3), 539-546 , 2020
    2020
  • A Scalable Methodology for Data Stream Analytics in Real-Time Internet of Things (IoT) Applications
    DBD B. Bhaskar Reddy, P. Imran Khan
    JOURNAL OF CRITICAL REVIEWS,ISSN- 2394-5125 7 (3), 2328-2333 , 2020
    2020
  • Color Edge Detection Using Intensity and Chromatic Difference in Combination
    DBD B.Bhaskar Reddy,P.Imran Khan ,
    journal Of Critical Reviews 7 (10), 6614-6617 , 2020
    2020

MOST CITED SCHOLAR PUBLICATIONS

  • The AODV routing protocol with built-in security to counter blackhole attack in MANET
    B Reddy, B Dhananjaya
    Materials Today: Proceedings 50, 1152-1158 , 2022
    2022
    Citations: 37
  • Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique
    SVM Dr.B.Bhaskar Reddy,k. Madhavi Reddy,Mohd Nasrun,hari kishore
    Measurement: Sensors , 2023
    2023
    Citations: 30
  • Blackhole Attack Implementation in AODV Routing Protocol
    M Roopak, B Reddy
    International Journal of Scientific and Technology Research 4 (5), 402-406 , 2013
    2013
    Citations: 17
  • Teaching learning-based brain storm optimization tuned Deep-CNN for Alzheimer’s disease classification
    RKN Dr.B.Bhaskar Reddy,mohana Roopa,M.Ramesh babu
    Multimedia Tools and Applications’ , 2023
    2023
    Citations: 11
  • Prediction Evaluation of Gene Ontology Using Support Vector Machine
    MRB Y Mohana Roopa, B Bhasker Reddy, K. Sree Latha
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 11
  • Classification Approach for Face Spoof Detection in Artificial Neural Network Based on IoT Concepts
    DAS Dr. B. Bhaskar Reddy, Dr. Syed Gilani Pasha,Dr. M. Kameswari,Dr. Ravi ...
    International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING … , 2024
    2024
    Citations: 9
  • Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
    PRR Dr.B.Bhaskar Reddy,M.Venkata sudhakar, P.Rahul Reddy
    MultimediaSystems , 2023
    2023
    Citations: 9
  • Detection of tumors from MRI brain images using CNN with extensive augmentation
    YM Roopa, BB Reddy
    Turkish Journal of Computer and Mathematics Education 12 (6), 50-55 , 2021
    2021
    Citations: 8
  • Effect of process parameters on the mechanical behavior of FDM processed PLA parts
    KL Kishore, B Reddy
    Int J Manag Technol Eng 8 (XII), 718-723 , 2018
    2018
    Citations: 6
  • Artificial Intelligence-Powered Chatbots for Waste Management: A Vision for Circular and Smart Cities
    DBBR Dr.P.S.Ramesh
    Advances in Nonlinear Variational Inequalities 28 (2) , 2024
    2024
    Citations: 2
  • Effective Compression of Digital Images Using SPIHT Coding with Selective Decomposition Bands
    VV Satyanarayana Tallapragada, B Bhaskar Reddy, V Ramamurthy, ...
    Advances in Electrical and Computer Technologies: Select Proceedings of … , 2020
    2020
    Citations: 2
  • Encrypting Image and Transferring Secure Data Over the Internet Using Cryptography
    BB Reddy, AH Jumaa, B Rakesh, V Ganna, D Deepika, Z Alassedi
    2024 International Conference on Augmented Reality, Intelligent Systems, and … , 2024
    2024
    Citations: 1
  • Localization of an autonomous mobile robot for refinery inspection using IOT
    E Surekha, MT Student
    Int J Mag Eng Technol Manag Res 3 (7), 391-396 , 2016
    2016
    Citations: 1
  • Single Image Dehazing based on Multi-Scale Feature Fusion Under Adam-Optimization
    BB Reddy, DS Kareem, AR Al-Tameemi, P Tejesh, R Naveen, G SaiTeja
    2024 International Conference on Augmented Reality, Intelligent Systems, and … , 2024
    2024
  • Utilization of IoT and Image Processing to Create a Smart Vehicle Registry
    BB Reddy, PI Khan
    Journal of Science & Technology (JST) 6 (6), 31-40 , 2021
    2021
  • Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness
    BB Reddy, PI Khan, B Dhananjaya
    Journal of Science & Technology (JST) 6 (5), 132-137 , 2021
    2021
  • The AODV routing protocol with built-in security to counter blackhole attack in MANET
    Dr.B.Bhaskar Reddy,B.dhanajaya, B.Prabhakara Reddy
    Materials Today: Proceedings Education , 2021
    2021
  • Power Line Communication Technology-Based Advanced Patient Health Monitoring System
    DBD Dr.B. Bhaskar Reddy, P. Imran Khan
    Journal of Cardiovascular Disease Research, ISSN: 0975-3583 12 (06), 1713-1716 , 2021
    2021
  • Based on Sparse Representation and Feature Extraction in Clinical Image Fusion
    DBD B. Bhaskar Reddy, P. Imran Khan
    Journal of Cardiovascular Disease Research, ISSN:0975-3583 12 (06), 1707-1712 , 2021
    2021
  • Utilization of IoT and Image Processing to Create a Smart Vehicle Registry
    DBD B. Bhaskar Reddy, P. Imran Khan
    Turkish Online Journal of Qualitative Inquiry (TOJQI) 11 (04), 1768-1777 , 2020
    2020