Results 91 to 100 of about 10,164 (194)

Multimodal AI teacher: Integrating edge computing and reasoning models for enhanced student error analysis

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time‐consuming and labor‐intensive. This paper introduces an innovative Virtual AI Teacher system (VATE) designed to autonomously analyze and correct student Errors.
Tianlong Xu, Yi‐Fan Zhang, Zhendong Chu, Qingsong Wen   +3 more
wiley   +1 more source

A Semantically Guided Deep Supervised Hashing Model for Multi-Label Remote Sensing Image Retrieval

Remote Sensing
With the rapid growth of remote sensing data, efficiently managing and retrieving large-scale remote sensing images has become a significant challenge. Specifically, for multi-label image retrieval, single-scale feature extraction methods often fail to ...
Bowen Liu, Shibin Liu, Wei Liu
doaj   +1 more source

Towards Enhancing Healthcare Data Privacy: Integrating BioClinicalBERT With Polyalphabetic Cipher for Entity Recognition and Anonymization

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a dual‐layered anonymization model combining BioClinicalBERT and polyalphabetic cipher to accurately identify and protect sensitive healthcare data. It achieves strong F1 scores while maintaining data utility, enabling privacy‐preserving clinical research compliant with GDPR and HIPAA regulations.
Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey   +3 more
wiley   +1 more source

HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

Engineering Reports, Volume 8, Issue 3, March 2026.
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o, Lawrence Nderu, Ronald Waweru Mwangi, Isaac Nyabisa Oteyo   +3 more
wiley   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia, Nuno Marques de Almeida, Joe Amad‐Echendu, Simplice A. Asongu   +3 more
wiley   +1 more source

Bioengineered AAV9 and Optimised Microdystrophin Vectors Augment Phenotypic Rescue in a Murine Model of Duchenne Muscular Dystrophy

Journal of Cellular and Molecular Medicine, Volume 30, Issue 5, March 2026.
ABSTRACT Duchenne muscular dystrophy (DMD) is a severe neuromuscular disorder without an effective cure. Adeno‐associated virus (AAV) based gene therapy has improved dystrophin function, with sub‐optimal clinical outcomes. We reasoned that a combination of rational engineering of AAV9 capsids modified at the post‐translational modification sites ...
Mohankumar B. Senthilkumar, Sanya Sharma, Navaneeth Srinivasan, Anila Varghese, Pratiksha Sarangi, Vijayata Singh, Narendra Kumar, Devyani Yenurkar, Sudip Mukherjee, Sonal Amit, Sameer Bhatia, Santosh K. Misra, Ratna Dua Puri, Jeffrey Chamberlain, Giridhara R. Jayandharan   +14 more
wiley   +1 more source

Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search

IEEE Access
Deep hashing models are employed to efficiently store and swiftly search large-scale datasets where data are high dimensional. Their optimization of the loss function and the non-differentiable sign function can lead to inadequate backpropagation ...
Sooin Kim, Seonghyun Min, Wongyum Kim, Donghoon Kim, Doosung Hwang   +4 more
doaj   +1 more source

DffViT: Dual-Branch Feature Fusion Vision Transformer for Remote Sensing Image Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing image retrieval (RSIR) is crucial for applications, such as land cover mapping, urban monitoring, disaster response, and environmental change analysis.
Xiaohui He, Nan Yang, Panle Li, Mengjia Qiao, Xijie Cheng, Liyang Zhang, Jiandong Shang   +6 more
doaj   +1 more source

2025 Advances in Learning Health System Sciences (AiLHSS) Conference: Abstracts

Learning Health Systems, Volume 10, Issue 2, April 2026.
wiley   +1 more source

Deep Relevance Hashing for Remote Sensing Image Retrieval. [PDF]

Sensors (Basel)
Liu X, Chen X, Zhu G.
europepmc   +1 more source