Insect pests are quietly one of the most expensive problems in global agriculture. According to estimates from the Food and ...

The red palm weevil is a silent assassin of palm trees. Its larvae tunnel deep inside the trunk, devouring the tissue that keeps the tree alive, and by the time visible symptoms appear on the outside, ...

This article is also about "AI visual inspection that can be used on-site," but first, I will touch briefly on general AI ...

Uncover the latest and most impactful research in Deep Learning Applications for Maritime Object Detection. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in ...

This research proposes the design of an autonomous fire detection system based on a Raspberry Pi 3 B+, combined with smoke and flame sensors, enabling real-time monitoring and increased reactivity to ...

Cell-free DNA (cfDNA) in body fluids enables noninvasive cancer detection. Multifeature artificial intelligence (AI) can improve sensitivity by integrating diverse biomarkers when cancer signals are ...

When the students at University Avenue Elementary enter Science Specialist Natalie Lupo’s classroom, they don’t shuffle over to their seats or sit quietly waiting for instructions. Their entrance ...

description [CVPR 2026][Object Detection][Open World Object Detection] Ours proposes the DEUS framework, which effectively separates known, unknown, and background proposals in geometrically ...

The potato is one of the most consumed vegetable crops worldwide. However, the environmental changes and various crop diseases have a significant impact on potato production, indicating severe damage ...

Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise. From neural networks to NLP and computer vision, top deep learning reads ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...