Intelligent Optimization of Multicropping Strategies Across Irrigation Systems using Genetic Algorithm, Deep Learning, and Particle Swarm Optimization
Agriculture plays a crucial role in ensuring food security and sustainable economic development. However, increasing population growth, limited water resources, climate variability, and inefficient crop planning practices present significant challenges to agricultural productivity. Multicropping systems offer an effective solution for improving land utilization and enhancing farm profitability, but determining optimal crop combinations under different irrigation…
A STABILITY AND SECURITY ENHANCED ROUTING AND CLUSTERING ALGORITHM FOR VANET
Vehicular Ad Hoc Networks (VANETs) face significant challenges due to frequent communication link disruptions caused by high vehicular mobility. Addressing these issues, this paper introduces a Dynamic and Reliable Routing Algorithm (DRRA) designed to enhance clustering stability and improve security. DRRA employs a novel Cluster Head (CH) election strategy based on relative mobility metrics to…
A STABILITY AND SECURITY ENHANCED ROUTING AND CLUSTERING ALGORITHM FOR VANET
Vehicular Ad Hoc Networks (VANETs) face significant challenges due to frequent communication link disruptions caused by high vehicular mobility. Addressing these issues, this paper introduces a Dynamic and Reliable Routing Algorithm (DRRA) designed to enhance clustering stability and improve security. DRRA employs a novel Cluster Head (CH) election strategy based on relative mobility metrics to…
AI VISION POWERED ROBOTIC ARM
Robotics and artificial intelligence together represent one of the most transformative frontiers in modern technology. This paper presents the design and implementation of an AI Vision Powered Robotic Arm that integrates real-time object detection, spatial analysis, and precise servo-controlled manipulation. The system employs an ESP32-CAM module as an edge vision device, streaming live MJPEG video…
HARDWARE BASED AI VOICE ASSISTANT
This paper presents the design and implementation of a real-time AI voice assistant using ESP32 and cloudbased artificial intelligence. The system captures user voice input through an INMP441 I2S microphone and transmits the audio data to a Python-based server using WebSocket communication. The server processes the audio using Speech-to-Text (STT), generates intelligent responses using AI…