Results 111 to 120 of about 956,220 (295)

DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection

Results in Engineering
Objective: The detection of signature forgeries is a critical challenge in domains such as forensic investigations, financial security, and biometric authentication.
Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir   +3 more
doaj   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

Offline signature identification and verification using noniterative shape context algorithm [PDF]

, 2009
The paper presents experimental results on offline signature identification and verification. At the first stage of the presented system, the binary image of the signature undergoes skeletonization process using KMM algorithm to have a thinned, one pixel-
Adamski, M., Saeed, K.
core  

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Feature Extraction on Offline Handwritten Signature using PCA and LDA for Verification System

, 2012
Handwritten signature verification system is one of biometric alternative solution for conventional vulnerable verification system. Biometric verification system has more secured since the difficulties in forgery and burglary. Handwritten signature is
Muda, A. K.
core   +1 more source

Off line Handwritten Signature Recognition based on Fusion of Global and GLCM Features Using Fuzzy Logic

مجلة علوم ذي قار, 2019
Signature is widely used and developed area of research for personal verification and authentication. In this paper, we present a new offline handwritten signature recognition system based on fusion of global and GLCM (Grey Level Co-occurrence Matrix ...
Zamen F. Jabur
doaj  

Transfer learning based approach for reliable handwritten signature verification with SignaLearn

Discover Artificial Intelligence
Handwritten signatures are considered unique for a person’s identity and hence are used as a prevalent method of identification in banking, business, financial settings, legal documents, etc.
Himanshu Kumar Pathak, Unnati Chaurasia, Rashmi Rathi Upadhyay, Koushlendra Kumar Singh, Ahmet Kaplan   +4 more
doaj   +1 more source

A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications

Advanced Intelligent Systems, EarlyView.
Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and optimized horseshoe geometry, this design establishes an optimal feedback mechanism for flexible hand exoskeletons while eliminating wiring clutter.
Huawei Zheng, Frédéric Lamarque, Hani Al Hajjar, Andreas Dietzel   +3 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

DualSigVL: confidence-aware expert fusion for offline signature verification based on dualview multimodal large language models

Journal of King Saud University: Computer and Information Sciences
Offline signatures serve as a fundamental basis for financial instrument verification and legal document authentication. Since signature authenticity directly impacts property security and the establishment of legal facts, automated verification systems ...
Liyan Huang, Bohan Jiang, Zhichen Xie
doaj   +1 more source