Empowering voice assistants with TinyML for user-centric innovations and real-world applications Sireesha Chittepu, Sheshikala Martha, Debajyoty Banik Scientific Reports, 2025 This study explores the motivations behind integrating TinyML-based voice assistants into daily life, focusing on enhancing their user interface (UI) and functionality to improve user experience. This research discusses real-world applications like smart home automation, visually impaired assistive technologies, and healthcare monitoring. This review acknowledges various problems and helps us understand why TinyML exerts such significant implications in numerous domains. Researchers derive solutions from this study on how voice assistants integrated with TinyML can effectively analyze and adjust to user behaviour patterns in real-world scenarios, thereby enabling the delivery of dynamic and responsive content to enhance user engagement. The article also focused on limitations while implementing TinyML. Researchers will understand the detailed issues that are unavailable in most papers. This work explores features that can be embedded in voice assistants, like smart home automation, smart watches, smart glasses for visually impaired people, etc., using TinyML. A comparative review of current methods identifies areas of research gaps such as deployment difficulties, noise interference, and model efficiency on low-resource devices. From this study, researchers can directly identify the research gap with minimal effort, which may motivate them to focus more on solving the open problems due to optimize the problem identification time.
RETRACTED: Enhancing the feature selection by employing improved optimization with Simulated Annealing Algorithm for dimensionality reduction in intrusion detection dataset A. Arulmurugan, G. Jose Moses, Ongole Gandhi, M. Sheshikala, A. Arthie Journal of Intelligent and Fuzzy Systems, 2025 In the current scenario, feature selection (FS) remains one of the very important functions in machine learning. Decreasing the feature set (FSt) assists in enhancing the classifier’s accuracy. Because of the existence of a huge quantity of data within the dataset (DS), it remains a colossal proced ure for choosing the requisite features out of the DS. Hence, for resolving this issue, a new Chaos Quasi-Oppositional-based Flamingo Search Algorithm with Simulated Annealing Algorithm (CQOFSASAA) has been proffered for FS and for choosing the optimum FSt out of the DSs, and, hence, this lessens the DS’ dimension. The FSA technique can be employed for selecting the optimal feature subset out of the DS. Generalized Ring Crossover has been as well embraced for selecting the very pertinent features out of the DS. Lastly, the Kernel Extreme Learning Machine (KELM) classifier authenticates the chosen features. This proffered paradigm’s execution has been tested by standard DSs and the results have been correlated with the rest of the paradigms. From the experimental results, it has been confirmed that this proffered CQOFSASAA attains 93.74% of accuracy, 92% of sensitivity, and 92.1% of specificity.
AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR ACCURATE AND EFFICIENT FACIAL EMOTION RECOGNITION Journal of Theoretical and Applied Information Technology, 2025
Detection of Multiple Plant Diseases by Leaf Diagnosis Using Deep Learning Noor Mohd, Saransh Mehta, Prajjuwal Mehta, Mohd. Rehan Ghazi, Narayan Chaturvedi, Sheshikala Martha Proceedings of the 2024 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2024, 2024
Real-Time Face Detection on Security Surveillance Footage Noor Mohd, Shradhay Dham, Jai Singh Bisht, Aryan Mehta, Akshita Joshi, Sheshikala Martha Proceedings of the 2024 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2024, 2024
Human Action Detection using Transfer Learning Algorithms Sheshikala Martha, Rithika Reddy Patti, Varsha Sri Paka, Saketh Pashikanti, Saikeerthana Shanigarapu International Conference on Sustainable Computing and Smart Systems Icscss 2023 Proceedings, 2023
Relative Stability Analysis of the GNR and Cu Interconnect Sandip Bhattacharya, L. M. I. Leo Joseph, Sheshikala Martha, Ch. Rajendra Prasad, Syed Musthak Ahmed, Subhajit Das, Debaprasad Das, P. Anuradha Nano Interconnect Materials and Models for Next Generation Integrated Circuit Design, 2023
Survey on multi level security for IoT network in cloud and data centers Journal of Advanced Research in Dynamical and Control Systems, 2018
Software defined security (SDSec): Reliable centralized security system to decentralized applications in SDN and their challenges Journal of Advanced Research in Dynamical and Control Systems, 2018
Co-location data mining on uncertain datasets using a probabilistic approach International Journal of Applied Engineering Research, 2015
Colocation mining in uncertain data sets: A probabilistic approach Lecture Notes in Engineering and Computer Science, 2015
RECENT SCHOLAR PUBLICATIONS
Evaluating Large Language Models for Abstractive Summarization: A Benchmark Study on Recall, Fidelity, and Content Coherence A SURABHI, S MARTHA Journal of Information Science and Engineering 42 (3), 793-804 , 2026 2026
via Ensemble Learning S Chittepu, S Martha, KSS Vootla, SK Peddi, LN Reddy Proceedings of International Conference on Communication and Computational … , 2026 2026
Robust Deep Learning Architecture for Cross-Cultural Facial Emotion Recognition in Unconstrained Environments M Shylaja, M Sheshikala 2026 International Conference on Emerging Smart Computing and Informatics … , 2026 2026
DEEP LEARNING–ENABLED MASSIVE MIMO LORA NETWORK FOR RELIABLE IOT COMMUNICATION S Bhoompally, S Martha JOURNAL OF COMPUTER SCIENCE (ISSN NO: 1549-3636) 19 (2) , 2026 2026
Comprehensive survey on multimodal emotion detection with advances, challenges, and future directions in pairwise conversations S Chittepu, S Martha, D Banik Cognitive Processing, 1-16 , 2026 2026 Citations: 1
AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR ACCURATE AND EFFICIENT FACIAL EMOTION RECOGNITION M SHYLAJA, M SHESHIKALA Journal of Theoretical and Applied Information Technology 103 (24) , 2025 2025
Attention-Driven Hybrid Vision Transformer Framework for Explainable Heart Disease Classification with Multi-Modal Unstructured Medical Data V Sravanthi, S Martha 2025
AI-Augmented Framework for Securing Heterogeneous IoT Ecosystems: Challenges and Interoperability Solutions C Sandeep, S Martha 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Unified AI-Driven Interoperability in IoT: A Security-Centric Perspective for Next-Generation Networks C Sandeep, S Martha 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Hybrid Deep Learning Architectures for Cross-Domain Pattern Recognition: Bridging Advances in Machine Learning and High-Performance Computing M Shylaja, M Sheshikala 2025 IEEE 17th International Conference on Computational Intelligence and … , 2025 2025
Deep Learning-Based Tumor Detection in CT and PET Lung Images Using YOLOv7 and YOLOv8 A Thaseen, D Nandan, S Martha 2025 IEEE 5th International Conference on ICT in Business Industry … , 2025 2025
Adaptive Multimodal Deep Learning for Emotion Recognition via Facial Micro-Expressions and Physiological Signals M Shylaja, M Sheshikala 2025 4th International Conference on Automation, Computing and Renewable … , 2025 2025
From Principles to Practice: Integrating Business-Driven IoT Security with AI and Edge Encryption Protocols C Sandeep, S Martha, B Maram 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
Smart Travel Security Framework: AI-Driven Solutions for Threat Detection in IoT-Enabled Mobility Systems C Sandeep, S Martha, B Maram 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
Air quality analysis through IoT device and risk prediction of asthma attack using ML techniques A Banerjee, SK Mallick, A Yadav, A Chakraborty, S Martha, J Singh Recent Advances in Electrical & Electronic Engineering 18 (9), 1413-1430 , 2025 2025 Citations: 1
A Hybrid Data-Augmented Deep Learning Pipeline for Breast Tumor Diagnosis V Mounika, M Sheshikala 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), 1-6 , 2025 2025
An extensive study on electronic health records of heart disease detection using NLP techniques V Sravanthi, S Martha AIP Conference Proceedings 3325 (1), 040030 , 2025 2025
Hybrid ConvNeXt-Liquid Neural Network for Satellite Image Classification: A Benchmark on EuroSAT Dataset G Karunasri, S Martha, V Bijalwan IEEE Transactions on Geoscience and Remote Sensing , 2025 2025 Citations: 2
A Framework to Safeguard Electronic Health Records and Ensure Privacy in Cloud Storage T Sruthi, M Sheshikala World Conference on Information Systems for Business Management, 178-190 , 2025 2025
Towards Explainable AI in Satellite Imagery: A ResNet-50-Based Study on EuroSAT Classification K Gundla, S Martha, AK Panigrahy IEEE Access , 2025 2025 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Women Wellbeing Assessment in Indian Metropolises Using Machine Learning models BP Yadav, M Sheshikala, N Swathi, KR Chythanya, E Sudarshan IOP Conference Series: Materials Science and Engineering 981 (2), 022042 , 2020 2020.0 Citations: 93
A systematic analysis of enhancing cyber security using deep learning for cyber physical systems S Gaba, I Budhiraja, V Kumar, S Martha, J Khurmi, A Singh, KK Singh, ... IEEe Access 12, 6017-6035 , 2024 2024.0 Citations: 84
Checking for identity-based remote data integrity cloud storage with perfect data privacy M Akarapu, S Martha, KR Donthamala, B Prashanth, G Sunil, K Mahender IOP Conference Series: Materials Science and Engineering 981 (2), 022034 , 2020 2020.0 Citations: 71
Personalized fashion recommender system with image based neural networks M Sridevi, N Manikyaarun, M Sheshikala, E Sudarshan IOP conference series: materials science and engineering 981 (2), 022073 , 2020 2020.0 Citations: 62
Checking for Identity-Based Remote Data Integrity Cloud Storage with Perfect Data Privacy (2020) IOP Conference Series M Akarapu, S Martha, KR Donthamala, B Prashanth, G Sunil, K Mahender Materials Science and Engineering 981 (2), 022034 , 0 Citations: 55
Shabana,” Software Defined Security (SDSec): Reliable centralized security system to decentralized applications in SDN and their challenges” DMS SallauddinMohmmad Jour of Adv Research in Dynamical & Control Systems 10, 147-152 , 2019 2019.0 Citations: 32
Design of an optimized multicast routing algorithm for internet of things D Kothandaraman, M Sheshikala, K Seena Naik, Y Chanti, B Vijaykumar International Journal of Recent Technology and Engineering (IJRTE) 8 (2 … , 2019 2019.0 Citations: 28
Natural language processing and machine learning classifier used for detecting the author of the sentence M Sheshikala, D Kothandaraman, R Vijaya Prakash, G Roopa International Journal of Recent Technology and Engineering 8 (3), 936-939 , 2019 2019.0 Citations: 27
Survey on Multi Level Security for IoT Network in cloud and Data Centers S 1Dr.M.Sheshikala 2Sallauddin Mohmmad Jour of Adv Research in Dynamical & Control Systems 10 (10), (134-146) , 2018 2018.0 Citations: 23
A map-reduce framework for finding clusters of colocation patterns-a summary of results M Sheshikala, DR Rao, RV Prakash 2017 IEEE 7th international advance computing conference (IACC), 129-131 , 2017 2017.0 Citations: 20
Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images S Chauhan, DR Edla, V Boddu, MJ Rao, R Cheruku, SR Nayak, S Martha, ... BMC Medical Imaging 24 (1), 1 , 2024 2024.0 Citations: 18
Computation Analysis for Finding Co–Location Patterns using Map–Reduce Framework M Sheshikala, DR Rao, RV Prakash Indian Journal of Science and Technology 10 (8), 12-19 , 2017 2017.0 Citations: 16
Parallel approach for finding co-location pattern–a map reduce framework M Sheshikala, DR Rao, RV Prakash Procedia Computer Science 89, 341-348 , 2016 2016.0 Citations: 13
Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach M Sheshikala, S Mohmmad, D Kothandaraman, D Ramesh, R Kanakam Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021 … , 2022 2022.0 Citations: 12
BLE based secure text communication using IoT D Kothandaraman, A Balasundaram, E Sudarshan, M Sheshikala, ... AIP Conference Proceedings 2418 (1), 020064 , 2022 2022.0 Citations: 12
Identifying colorectal tumor for single cell RNA sequence using rectified linear unit with stochastic gradient descent M Rajesh, B Senapati, R Das, S Martha Procedia Computer Science 218, 189-198 , 2023 2023.0 Citations: 11
NLP based topic modeling for healthcare: analyzing patient reviews to improve quality of care and access to services B Bhukya, M Sheshikala 2023 International Conference on Emerging Techniques in Computational … , 2023 2023.0 Citations: 10
Deep neural networks based security solution for ATM transactions N Joshi, S Martha, S Chaudhary, P Consul, SK Singh International Conference on Recent Trends in Image Processing and Pattern … , 2023 2023.0 Citations: 9
Improving the transmission power of uavs with intelligent reflecting surfaces in v2x S Chaudhary, R Chaudhary, I Budhiraja, A Bhardwaj, A Nehra, S Martha 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-6 , 2023 2023.0 Citations: 7
An Enhanced Approach to Predict Re-occurrences of Breast Cancer Using Machine Learning M Sheshikala, D Ramesh, S Mohmmad, SN Pasha Proceedings of Third International Conference on Communication, Computing … , 2022 2022.0 Citations: 5