IEEE

Advanced Plant Disease Segmentation in Precision Agriculture Using Optimal Dimensionality Reduction With Fuzzy C-Means Clustering and Deep Learning

Abstract: Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision agriculture, for which effective dimensionality reduction (DR) strategies for the inherent complexity ...
IEEE

Mitigating Class Imbalance and Enhancing Unlabeled Data Extraction in Semi-Supervised Deep Learning for Martian Terrain Segmentation

Abstract: Semantic analysis of Martian terrain (MT) is essential for understanding the Martian surface and facilitating autonomous rover navigation. Currently, deep learning dominates MT semantic ...
IEEE

Analysis of Microscopic Data on the Behavior of Metallic Nickel Ore During Magnetic Enrichment Using SAM2 and Tensor Decomposition-Based Zero-Shot Image Segmentation

Abstract: The accurate separation and classification of minerals are crucial for integrating deep learning-based computer vision approaches into mineral enrichment processes. In this work, labeled ...
IEEE

Fault Detection On Heat Pump Operational Data Using Machine Learning Algorithms

Abstract: Heat pumps, being complex systems, are susceptible to various malfunctions. By harnessing contemporary IoT technologies, these devices continuously transmit data which enables monitoring, ...
IEEE

A Semisupervised Classification Method for Riverbed Benthic Sediments Using Integrated Superpixel Segmentation and Confident Learning Sample Enhancement

Abstract: Riverbed sediments are crucial in river ecosystems, significantly impacting water quality, environmental protection, and water resource management. With the increasing ease of obtaining high ...
IEEE

Forest Fire Forecasting Leveraging Modis Satellite Fire Data Using Machine Learning For Jharkhand State, India

Abstract: Forest fires pose significant environmental and economic threats, necessitating robust predictive models for better management and prevention. This study focuses on the temporal and spatial ...
Business Wire

Personetics Launches MCP Server—Enabling Banks to Develop Agentic AI Applications Using Customer Financial Intelligence Data

NEW YORK--(BUSINESS WIRE)--Personetics, the global leader in AI-driven Cognitive Banking, today announced the launch of Personetics MCP Server, which enables banks to develop and deploy Agentic AI ...
IEEE

Market Segmentation and Profiling Based on Customer Lifetime Value using Data Mining Techniques: First Bank USA One Case Study

Abstract: In the current competitive environment, banks are committed to expanding their products and services to maintain profitable and long-term customer relationships. Market segmentation is a ...
Fox Business

Salesforce cuts 4,000 jobs due to AI, CEO says

Salesforce has cut 4,000 customer support jobs and replaced them with artificial intelligence (AI) agents, CEO Marc Benioff said recently. Benioff made the comments while discussing how the new ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...