• Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments

  • End-to-End Error Control Coding Capability of NB-IoT Transmissions in a GEO Satellite System with Time-Packed Optical Feeder Link

  • Power-Based Intrusion Detection for Additive Manufacturing: A Deep Learning Approach

  • Decentralized Brains: A Reference Implementation with Performance Evaluation

  • A Proposal for Monitoring Grass Coverage in Citrus Crops Applying Time Series Analysis in Sentinel-2 Bands

  • Wireless Sensor Network to Create a Water Quality Observatory in Coastal Areas

  • Towards Construction Progress Estimation Based on Images Captured on Site

  • Beyond Anchors: Optimal Equality Constraints in Cooperative Localization

  • Correlation of NDVI with RGB Data to Evaluate the Effects of Solar Exposure on Different Combinations of Ornamental Grass Used in Lawns

  • Deployment and Assessment of a LoRa Sensor Network in Camelina [ (L.) Crantz] Culture

  • An Intelligent Predictive Maintenance Approach Based on End-of-Line Test Logfiles in the Automotive Industry

  • Cloud based IoT Smart Healthcare System for Remote Patient Monitoring

  • Privacy Preserving Collaborative Machine Learning

  • Non-linear dynamics of morphogenetic renal branching and Bifurcation analysis of chaotic patterns in autoregulation mechanisms

  • Editorial from the Editor-in-Chief

  • A method for integrating GIS and big data platforms

  • Cooperative Spectrum Sensing using DQN in CRN

  • Ubi-Interact: A modular approach to connecting systems

  • Efficient Power Management in Mobile Computing with Edge Server Offloading Using Multi-Objective Optimization

  • Linear Regression Model for Estimating Sustainable Generation: A Case Study in Tamil Nadu

  • Semantic segmentation of chest X-ray images based on the severity of COVID-19 infected patients

  • Enhanced Boykov's graph cuts based segmentation for Cervical Cancer Detection

  • The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

  • Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques

  • The Development of Learning Media for Automotive Electronics (Autotronics) Simulator Based on Measurement of Sensor Output Performance