Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Abstract: To maintain high standards and efficiency in the age of Industry 4.0, automated production lines must have real-time quality monitoring. Using deep learning techniques to improve real-time ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...

Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...

As 2026 admissions near, students are turning to future-ready degrees that promise strong demand, global opportunities and ...

Abstract: The safe and reliable operation of power systems relies on the intelligent operation and maintenance (O&M) of substations. However, multi-robot collaborative inspection, an essential ...

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...