Gautam Srivastava

发表

Improving sugarcane production in saline soils with Machine Learning and the Internet of Things

P. Priakanth, S. Gopikrishnan, Gautam Srivastava, 2022, Sustain. Comput. Informatics Syst..

Energy-aware Load Balancing in Heterogeneous Environments

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2021, ICFNDS.

Adaptive particle swarm optimization model for resource leveling

J. Lin, Chun-Hao Chen, Gautam Srivastava, 2022, Evolving Systems.

Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments

J. Lin, Gautam Srivastava, Usman Ahmed, 2022 .

A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2021, Comput. Commun..

Optimized scheduling of resource-constraints in projects for smart construction

Gautam Srivastava, Qing Lv, D. Yu, 2022, Information Processing & Management.

Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder

R. Jhaveri, Gautam Srivastava, Usman Ahmed, 2022, ACM Transactions on Asian and Low-Resource Language Information Processing.

Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism

A. Yazidi, Y. Djenouri, Gautam Srivastava, 2022, Expert Systems.

A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System

Vicente García Díaz, J. Wu, Gautam Srivastava, 2022, International Journal of Data Warehousing and Mining.

An Explainable Mental Health Fuzzy Deep Active Learning Technique

S. Tomasiello, Gautam Srivastava, Usman Ahmed, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Mitigating adversarial evasion attacks by deep active learning for medical image classification

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, Multimedia Tools and Applications.

Explainable Artificial Intelligence for Cybersecurity

Gautam Srivastava, Deepak Sharma, Jerry Chun‐wei Lin, 2022, Comput. Electr. Eng..

Medicine Drug Name Detection Based Object Recognition Using Augmented Reality

C. Rupa, Gautam Srivastava, Srinivas Koppu, 2022, Frontiers in Public Health.

A cluster-based barrier construction algorithm in mobile Wireless Sensor Networks

Meng-Shiuan Pan, Gautam Srivastava, Chun-Wei Lin, 2022, Phys. Commun..

A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, Comput. Commun..

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Fayadh S. Alenezi, Gautam Srivastava, S. Selvarajan, 2022, Sensors.

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, Future Gener. Comput. Syst..

An edge-driven multi-agent optimization model for infectious disease detection

A. Yazidi, Y. Djenouri, Gautam Srivastava, 2022, Applied Intelligence.

Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems

Ho-Youl Jung, Gautam Srivastava, Usman Ahmed, 2022, IEEE Transactions on Fuzzy Systems.

Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network

Ahmed J. Obaid, Loknath Sai Ambati, Gautam Srivastava, 2022, Frontiers in Computational Neuroscience.

Mining of High-Utility Patterns in Big IoT-based Databases

Mohammad S. Khan, R. Parizi, J. Wu, 2021, Mobile Networks and Applications.

An Improved GA-Based Recommendation System for Soil Fertilization

J. Wu, Gautam Srivastava, Usman Ahmed, 2022, Lecture Notes in Electrical Engineering.

Group intrusion detection in the Internet of Things using a hybrid recurrent neural network

D. Djenouri, Y. Djenouri, Gautam Srivastava, 2022, Cluster Computing.

Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems

D. Djenouri, Y. Djenouri, Gautam Srivastava, 2023, IEEE Transactions on Intelligent Transportation Systems.

When explainable AI meets IoT applications for supervised learning

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, Cluster Computing.

Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicle

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, ACM Transactions on Sensor Networks.

Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, ACM Trans. Manag. Inf. Syst..

Energy grid management system with anomaly detection and Q-learning decision modules

Rafał Cupek, Marcin Fojcik, Gautam Srivastava, 2023, Comput. Electr. Eng..

Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, IEEE Journal of Biomedical and Health Informatics.

Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, IEEE Journal of Biomedical and Health Informatics.

Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2022, Pattern Recognit. Lett..

Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment

Jerry Chun-Wei Lin, Gautam Srivastava, Usman Ahmed, 2022, ACM Trans. Asian Low Resour. Lang. Inf. Process..

EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment

Unil Yun, Gautam Srivastava, Usman Ahmed, 2021, Future Gener. Comput. Syst..

An Intelligent Collaborative Image-Sensing System for Disease Detection

A. Yazidi, Y. Djenouri, Gautam Srivastava, 2023, IEEE Sensors Journal.

Temporal positional lexicon expansion for federated learning based on hyperpatism detection

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, Expert Systems.

ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments

Gautam Srivastava, Jerry Chun‐wei Lin, Sana Aurangzeb, 2022, IEEE Transactions on Engineering Management.

Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2023, IEEE Transactions on Fuzzy Systems.

Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review

A. R. Javed, T. Gadekallu, Muhammad Rizwan, 2022, Sensors.

Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads

D. Djenouri, Y. Djenouri, Gautam Srivastava, 2022, IEEE Transactions on Intelligent Transportation Systems.

BIoMT-ISeg: Blockchain internet of medical things for intelligent segmentation

A. Yazidi, Y. Djenouri, Gautam Srivastava, 2023, Frontiers in Physiology.

ASTREAM: Data-Stream-Driven Scalable Anomaly Detection With Accuracy Guarantee in IIoT Environment

Mohammad Ayoub Khan, Lianyong Qi, Mohsen Heidari, 2023, IEEE Transactions on Network Science and Engineering.

Interpretable intrusion detection for next generation of Internet of Things

A. Yazidi, Y. Djenouri, Gautam Srivastava, 2023, Comput. Commun..

Deep Learning Inspired Object Consolidation Approaches Using LiDAR Data for Autonomous Driving: A Review

Ho-Youl Jung, Gautam Srivastava, Gaurav Dhiman, 2021, Archives of Computational Methods in Engineering.

Fast and Accurate Framework for Ontology Matching in Web of Things

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2023, ACM Transactions on Asian and Low-Resource Language Information Processing.

An adaptive energy aware DTN-based communication layer for cyber-physical systems

R. Pamula, Gautam Srivastava, A. Singh, 2022, Sustain. Comput. Informatics Syst..

Mitigating adversarial evasion attacks of ransomware using ensemble learning

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2022, Comput. Electr. Eng..

Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2023, Sustainable Computing: Informatics and Systems.

Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks

Gautam Srivastava, Usman Ahmed, Amit Kumar Singh, 2023, IEEE Transactions on Intelligent Transportation Systems.

AHDNN: Attention enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles

K. D. Gupta, R. Dwivedi, Gautam Srivastava, 2022, Journal of Circuits, Systems and Computers.

Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, Wireless Networks.

A Radical Safety Measure for Identifying Environmental Changes Using Machine Learning Algorithms

Jerry Chun-Wei Lin, Fayadh S. Alenezi, Gautam Srivastava, 2022, Electronics.

Graph Attention Network for Text Classification and Detection of Mental Disorder

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, ACM Transactions on the Web.

Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2022, ACM Transactions on Sensor Networks.

Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2023, IEEE Transactions on Computational Social Systems.

A ML-based resource utilization OpenCL GPU-kernel fusion model

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2022, Sustain. Comput. Informatics Syst..

Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers

Gautam Srivastava, Jerry Chun‐wei Lin, Muhammad Aleem, 2022, Renewable and Sustainable Energy Reviews.

An efficient quantum based D2D computation and communication approach for the Internet of Things

Ju H. Park, Ho-Youl Jung, Gautam Srivastava, 2021, Optical and Quantum Electronics.

Efficient evolutionary computation model of closed high-utility itemset mining

Philippe Fournier-Viger, Y. Djenouri, Gautam Srivastava, 2022, Applied Intelligence.

Fast and Accurate Framework for Ontology Matching in Web of Things

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2023, ACM Transactions on Asian and Low-Resource Language Information Processing.

Deep active reinforcement learning for privacy preserve data mining in 5G environments

Hsing-Chung Chen, Gautam Srivastava, Usman Ahmed, 2021, J. Intell. Fuzzy Syst..

Mathematical approach of fiber optics for renewable energy sources using general adversarial networks

Hassan A. Alterazi, Gautam Srivastava, S. Selvarajan, 2023, Frontiers in Ecology and Evolution.

Blockchain-based federated learning with checksums to increase security in Internet of Things solutions

Gautam Srivastava, Katarzyna Prokop, Jerry Chun‐wei Lin, 2022, Journal of Ambient Intelligence and Humanized Computing.

Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, IEEE Transactions on Computational Social Systems.

Sustainable Computing: Informatics and Systems

Gautam Srivastava, Usman Ahmed, Timo Johann, 2022 .

Detection of Trajectory Outliers in Intelligent Transportation Systems

J. Wu, Y. Djenouri, Gautam Srivastava, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Exploring the Potential of Cyber Manufacturing Systems in the Digital Age

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2023, ACM Transactions on Internet Technology.

Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things

A. Jolfaei, Gautam Srivastava, Usman Ahmed, 2023, IEEE Systems Journal.

Knowledge graph based trajectory outlier detection in sustainable smart cities

Y. Djenouri, Gautam Srivastava, Usman Ahmed, 2021, Sustainable Cities and Society.

Mining Skyline Patterns from Big Data Environments based on a Spark Framework

J. Wu, Gautam Srivastava, Chun-Wei Lin, 2023, Journal of Grid Computing.

A Privacy-Preserving Internet of Things Smart Healthcare Financial System

Jerry Chun-Wei Lin, A. Dwivedi, R. Singh, 2023, IEEE Internet of Things Journal.

A typology of secure multicast communication over 5 G/6 G networks

N. Amin, Gautam Srivastava, Abdul Waheed, 2023, International Journal of Information Security.

Vehicle detection using improved region convolution neural network for accident prevention in smart roads

D. Djenouri, Y. Djenouri, Gautam Srivastava, 2022, Pattern Recognition Letters.

Traffic Classification in Underwater Networks Using SDN and Data-Driven Hybrid Metaheuristics

D. S. Roy, B. Pradhan, Gautam Srivastava, 2022, ACM Trans. Sens. Networks.

Secure Collaborative Augmented Reality Framework for Biomedical Informatics

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2021, IEEE Journal of Biomedical and Health Informatics.

Black-Hole Attack Mitigation in Medical Sensor Networks Using the Enhanced Gravitational Search Algorithm

Praveen Kumar Reddy Maddikunta, Rutvij H. Jhaveri, Rajesh Kumar Dhanaraj, 2021, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles

Jerry Chun-Wei Lin, Y. Djenouri, Gautam Srivastava, 2022, ACM Trans. Sens. Networks.

Semisupervised Federated Learning for Temporal News Hyperpatism Detection

Gautam Srivastava, Usman Ahmed, Jerry Chun‐wei Lin, 2023, IEEE Transactions on Computational Social Systems.

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

Jerry Chun-Wei Lin, Gautam Srivastava, Farhan Ullah, 2023, Digital Communications and Networks.

Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks

T. Gadekallu, Gautam Srivastava, Chun-Wei Lin, 2022, Sensors.

A Wireless Mesh Opportunistic Network Routing Algorithm Based on Trust Relationships

Gautam Srivastava, Yan Zhao, Gautam Srivastava, 2022, IEEE Access.

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part II

Nachiketa Sahoo, Gautam Srivastava, Chun-Wei Lin, 2022, ACM Trans. Manag. Inf. Syst..

Ensemble-based deep meta learning for medical image segmentation

Gautam Srivastava, Usman Ahmed, Chun-Wei Lin, 2021, J. Intell. Fuzzy Syst..

Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization

Hassan A. Alterazi, Gautam Srivastava, S. Selvarajan, 2022, Sensors.

Deep learning based hashtag recommendation system for multimedia data

Y. Djenouri, Gautam Srivastava, Asma Belhadi, 2022, Inf. Sci..

A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics

K. Yu, Gautam Srivastava, Jia-Hao Syu, 2023, IEEE Transactions on Consumer Electronics.

Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning

Gautam Srivastava, Chun-Wei Lin, Jia-Hao Syu, 2023, 2023 IEEE International Conference on Fuzzy Systems (FUZZ).

Sustainable Computing: Informatics and Systems

Gautam Srivastava, Jerry Chun‐Wei Lin, 2023 .