Dr. Ninni Singh obtained her Ph.D. in Computer Science and Engineering from the University of Petroleum and Energy Studies, Dehradun, Uttarakhand. She is currently working as Associate Professor in the Computer Science and Engineering Department at CMR Institute of Technology (Autonomous), Hyderabad. Dr. Singh has published many technical articles in refereed journals and international conferences. Her areas of interest are artificial intelligence, expert system, artificial neural network, cryptography and network security, distributed system, and wireless sensor and mesh network.Dr. Ali Kashif Bashir is Reader of Networks and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is also serving as Program Leader for B.Sc. Cyber Forensics and Security and B.Sc. Cyber Security.  He also enjoys adjunct and honorary affiliations of the University of Electronics Science and Technology of China (UESTC), China; University of Science and Technology, Islamabad (NUST), Pakistan; and the University of Guelph, Canada. He received his Ph.D. in Computer Science and Engineering from Korea University, South Korea, and his M.S. from Ajou University, South Korea. His research includes the Internet of Things, network communication, cyber security, distributed systems, machine learning, and smart infrastructures. Professor Seifedine Kadry obtained his Ph.D. in 2007 from Blaise Pascal University (France). At present, his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is ABET Program Evaluator for computing and ABET Program Evaluator for Engineering Tech. He is Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is Distinguished Speaker of IEEE Computer Society.Dr. Yu-Chen Hu received his Ph.D. in Information Engineering from National ChungCheng University. He is currently Researcher at the Department of Computer Science and Information Management, Providence University, Taiwan. His research interests are in the areas of Information Engineering, Information Hiding, Image Processing, and Image Compression.

• A Comparative study on Melanoma detection using machine learning paradigm.- Crop Recommendation System Using Machine Learning Algorithms.- Movie Recommendation System Using Deep Learning.- A New Switched Capacitor based Five-Level Inverter for PV Applications.- Multilingual Text Identification using NLP and Machine Learning.- A Single Source based Switched capacitor Nine-Level Boost Inverter with a Low Switch Count and SelfBalanced Capacitors.- IoT based Automatic Forest Fire Extinguisher.- Modeling of Voltage Droop Control in DC Microgrid for Voltage Profile Improvement.- Compact Transformer Neural Network for Pulmonary Disease Classification from Radiological Imaging.- Performance Investigation of Five Level Cascaded Multilevel Inverter based Solar PV System with Charge Balance Control.- Power System Stability Constrained Contingency Ranking using Game Theory.- Artificial Neural Network Based Contingency Ranking Using Line Voltage Stability Index.- Techniques of Applied Linguistics for Language Teaching – Learning.- Methodology for Sustainable Equity of Livelihood and Right-of-Way to Technology.- Automatic Brain Tumor Classification using Transfer Learning.- Early Disease Prediction Detection of  Blast in Oryza Sativa.- Octave and Level Sampling based Medical Image Registration using Maximum Dominance.- Deep Learning for Kidney MRI Image Analysis.- Parkinson’s Disease Detection and Classification Through Gait Analysis.- Analysis of the Performance of a PMDC-Based EV during Regenerative Breaking.- Reduced Switch Count Multilevel inverters.- Design and Analysis of Six Phase Induction Motor using Wind Driven Optimization.- Intelligent Shopping Carts for Mall Automation.- Block chain-Embellished Cloud Data Security.- Implementation of Pectoral removal with Hybridization of MSER Pectoral and Hough Pectoral methods.- Attention-based Gated Recurrent Networks for Parkinson’s Disease Detection through Voice Patterns.- Classification of Brain Tumors from MRI Images Utilizing a Convolutional Neural Network.- Non-Gaussian Noise Detection by Machine learning Algorithm for Multispectral Satellite Images.- FPGA-based IC design for ECG monitoring signals generation.- Novel synchronous counters using flip flops for low power applications.- Intelligent Seasonal Palm Agriculture Systems for Better Health.- Privacy Preserving and Detection of EEG signals using Machine Learning methods.- Secure Communication Protocol for Maintaining Health care Data in Modern IoT Applications.- Convolutional neural network for Classification of Image-based malware: A Deep Learning.- Prophesising of Cardiovascular Disease Using Decision Tree Classification Algorithm.- Analysing Tweets Based On Emotions.- A Comparative Study of Deep Learning Models with Transfer Learning for Liver Tumor Classification.- The Prevalence of Emotional Stress among Undergraduates during Online Sessions at Government Colleges, Telangana- Analytical Study.- The Impact of Self-Concept among the Secondary School Students with Intellectual Disabilities.- Breast Cancer Detection using Ensemble Learning Model.- Design and Simulation of Glass Shaped Patch Antenna Array with Circular Slots for Wireless Applications.

Dr. Ninni Singh obtained her Ph.D. in Computer Science and Engineering from the University of Petroleum and Energy Studies, Dehradun, Uttarakhand. She is currently working as Associate Professor in the Computer Science and Engineering Department at CMR Institute of Technology (Autonomous), Hyderabad. Dr. Singh has published many technical articles in refereed journals and international conferences. Her areas of interest are artificial intelligence, expert system, artificial neural network, cryptography and network security, distributed system, and wireless sensor and mesh network.Dr. Ali Kashif Bashir is Reader of Networks and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is also serving as Program Leader for B.Sc. Cyber Forensics and Security and B.Sc. Cyber Security.  He also enjoys adjunct and honorary affiliations of the University of Electronics Science and Technology of China (UESTC), China; University of Science and Technology, Islamabad (NUST), Pakistan; and the University of Guelph, Canada. He received his Ph.D. in Computer Science and Engineering from Korea University, South Korea, and his M.S. from Ajou University, South Korea. His research includes the Internet of Things, network communication, cyber security, distributed systems, machine learning, and smart infrastructures. Professor Seifedine Kadry obtained his Ph.D. in 2007 from Blaise Pascal University (France). At present, his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is ABET Program Evaluator for computing and ABET Program Evaluator for Engineering Tech. He is Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is Distinguished Speaker of IEEE Computer Society.Dr. Yu-Chen Hu received his Ph.D. in Information Engineering from National ChungCheng University. He is currently Researcher at the Department of Computer Science and Information Management, Providence University, Taiwan. His research interests are in the areas of Information Engineering, Information Hiding, Image Processing, and Image Compression.

• A Comparative study on Melanoma detection using machine learning paradigm.- Crop Recommendation System Using Machine Learning Algorithms.- Movie Recommendation System Using Deep Learning.- A New Switched Capacitor based Five-Level Inverter for PV Applications.- Multilingual Text Identification using NLP and Machine Learning.- A Single Source based Switched capacitor Nine-Level Boost Inverter with a Low Switch Count and SelfBalanced Capacitors.- IoT based Automatic Forest Fire Extinguisher.- Modeling of Voltage Droop Control in DC Microgrid for Voltage Profile Improvement.- Compact Transformer Neural Network for Pulmonary Disease Classification from Radiological Imaging.- Performance Investigation of Five Level Cascaded Multilevel Inverter based Solar PV System with Charge Balance Control.- Power System Stability Constrained Contingency Ranking using Game Theory.- Artificial Neural Network Based Contingency Ranking Using Line Voltage Stability Index.- Techniques of Applied Linguistics for Language Teaching – Learning.- Methodology for Sustainable Equity of Livelihood and Right-of-Way to Technology.- Automatic Brain Tumor Classification using Transfer Learning.- Early Disease Prediction Detection of  Blast in Oryza Sativa.- Octave and Level Sampling based Medical Image Registration using Maximum Dominance.- Deep Learning for Kidney MRI Image Analysis.- Parkinson’s Disease Detection and Classification Through Gait Analysis.- Analysis of the Performance of a PMDC-Based EV during Regenerative Breaking.- Reduced Switch Count Multilevel inverters.- Design and Analysis of Six Phase Induction Motor using Wind Driven Optimization.- Intelligent Shopping Carts for Mall Automation.- Block chain-Embellished Cloud Data Security.- Implementation of Pectoral removal with Hybridization of MSER Pectoral and Hough Pectoral methods.- Attention-based Gated Recurrent Networks for Parkinson’s Disease Detection through Voice Patterns.- Classification of Brain Tumors from MRI Images Utilizing a Convolutional Neural Network.- Non-Gaussian Noise Detection by Machine learning Algorithm for Multispectral Satellite Images.- FPGA-based IC design for ECG monitoring signals generation.- Novel synchronous counters using flip flops for low power applications.- Intelligent Seasonal Palm Agriculture Systems for Better Health.- Privacy Preserving and Detection of EEG signals using Machine Learning methods.- Secure Communication Protocol for Maintaining Health care Data in Modern IoT Applications.- Convolutional neural network for Classification of Image-based malware: A Deep Learning.- Prophesising of Cardiovascular Disease Using Decision Tree Classification Algorithm.- Analysing Tweets Based On Emotions.- A Comparative Study of Deep Learning Models with Transfer Learning for Liver Tumor Classification.- The Prevalence of Emotional Stress among Undergraduates during Online Sessions at Government Colleges, Telangana- Analytical Study.- The Impact of Self-Concept among the Secondary School Students with Intellectual Disabilities.- Breast Cancer Detection using Ensemble Learning Model.- Design and Simulation of Glass Shaped Patch Antenna Array with Circular Slots for Wireless Applications.

Dr. Ninni Singh obtained her Ph.D. in Computer Science and Engineering from the University of Petroleum and Energy Studies, Dehradun, Uttarakhand. She is currently working as Associate Professor in the Computer Science and Engineering Department at CMR Institute of Technology (Autonomous), Hyderabad. Dr. Singh has published many technical articles in refereed journals and international conferences. Her areas of interest are artificial intelligence, expert system, artificial neural network, cryptography and network security, distributed system, and wireless sensor and mesh network.Dr. Ali Kashif Bashir is Reader of Networks and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is also serving as Program Leader for B.Sc. Cyber Forensics and Security and B.Sc. Cyber Security.  He also enjoys adjunct and honorary affiliations of the University of Electronics Science and Technology of China (UESTC), China; University of Science and Technology, Islamabad (NUST), Pakistan; and the University of Guelph, Canada. He received his Ph.D. in Computer Science and Engineering from Korea University, South Korea, and his M.S. from Ajou University, South Korea. His research includes the Internet of Things, network communication, cyber security, distributed systems, machine learning, and smart infrastructures. Professor Seifedine Kadry obtained his Ph.D. in 2007 from Blaise Pascal University (France). At present, his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is ABET Program Evaluator for computing and ABET Program Evaluator for Engineering Tech. He is Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is Distinguished Speaker of IEEE Computer Society.Dr. Yu-Chen Hu received his Ph.D. in Information Engineering from National ChungCheng University. He is currently Researcher at the Department of Computer Science and Information Management, Providence University, Taiwan. His research interests are in the areas of Information Engineering, Information Hiding, Image Processing, and Image Compression.

• A Comparative study on Melanoma detection using machine learning paradigm.- Crop Recommendation System Using Machine Learning Algorithms.- Movie Recommendation System Using Deep Learning.- A New Switched Capacitor based Five-Level Inverter for PV Applications.- Multilingual Text Identification using NLP and Machine Learning.- A Single Source based Switched capacitor Nine-Level Boost Inverter with a Low Switch Count and SelfBalanced Capacitors.- IoT based Automatic Forest Fire Extinguisher.- Modeling of Voltage Droop Control in DC Microgrid for Voltage Profile Improvement.- Compact Transformer Neural Network for Pulmonary Disease Classification from Radiological Imaging.- Performance Investigation of Five Level Cascaded Multilevel Inverter based Solar PV System with Charge Balance Control.- Power System Stability Constrained Contingency Ranking using Game Theory.- Artificial Neural Network Based Contingency Ranking Using Line Voltage Stability Index.- Techniques of Applied Linguistics for Language Teaching – Learning.- Methodology for Sustainable Equity of Livelihood and Right-of-Way to Technology.- Automatic Brain Tumor Classification using Transfer Learning.- Early Disease Prediction Detection of  Blast in Oryza Sativa.- Octave and Level Sampling based Medical Image Registration using Maximum Dominance.- Deep Learning for Kidney MRI Image Analysis.- Parkinson’s Disease Detection and Classification Through Gait Analysis.- Analysis of the Performance of a PMDC-Based EV during Regenerative Breaking.- Reduced Switch Count Multilevel inverters.- Design and Analysis of Six Phase Induction Motor using Wind Driven Optimization.- Intelligent Shopping Carts for Mall Automation.- Block chain-Embellished Cloud Data Security.- Implementation of Pectoral removal with Hybridization of MSER Pectoral and Hough Pectoral methods.- Attention-based Gated Recurrent Networks for Parkinson’s Disease Detection through Voice Patterns.- Classification of Brain Tumors from MRI Images Utilizing a Convolutional Neural Network.- Non-Gaussian Noise Detection by Machine learning Algorithm for Multispectral Satellite Images.- FPGA-based IC design for ECG monitoring signals generation.- Novel synchronous counters using flip flops for low power applications.- Intelligent Seasonal Palm Agriculture Systems for Better Health.- Privacy Preserving and Detection of EEG signals using Machine Learning methods.- Secure Communication Protocol for Maintaining Health care Data in Modern IoT Applications.- Convolutional neural network for Classification of Image-based malware: A Deep Learning.- Prophesising of Cardiovascular Disease Using Decision Tree Classification Algorithm.- Analysing Tweets Based On Emotions.- A Comparative Study of Deep Learning Models with Transfer Learning for Liver Tumor Classification.- The Prevalence of Emotional Stress among Undergraduates during Online Sessions at Government Colleges, Telangana- Analytical Study.- The Impact of Self-Concept among the Secondary School Students with Intellectual Disabilities.- Breast Cancer Detection using Ensemble Learning Model.- Design and Simulation of Glass Shaped Patch Antenna Array with Circular Slots for Wireless Applications.