Results 61 to 70 of about 609,261 (188)

Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification

Complex & Intelligent Systems
Developing technologies that can accurately identify and highlight subtle differences in signatures is crucial for improving the performance of signature recognition and verification.
Wanying Li, Mahpirat Muhammat, Xuebin Xu, Alimjan Aysa, Kurban Ubul   +4 more
doaj   +1 more source

Swish‐Gumbel: A New Activation Function for Image Classification

Concurrency and Computation: Practice and Experience, Volume 38, Issue 14, July 2026.
ABSTRACT In this study, we present Swish‐Gumbel, a new family of activation functions generated by combining the Swish and Gumbel functions through both multiplication and linear composition. We evaluate their performance on several image classification benchmarks, including MNIST, CIFAR‐10, Imagenette, and Beans, using different deep learning ...
Elif Dorukbaşı, Burhan Selçuk, İlker Türker   +2 more
wiley   +1 more source

Offline Handwritten Signature Watermark For Digital Document Authentication

, 2008
This thesis introduces a novel biometric watermarking technique using offline handwritten signature, namely, signature image, as the watermark. Traditionally, the host image is embedded using originator's name, graphical logo and serial number which can ...
Yaw, Low Cheng
core   +2 more sources

Efficient Spin‐Orbit Torques Enabled by Vanadium‐Induced Orbital Currents for Neuromorphic Computing

Rare Metals, Volume 45, Issue 7, July 2026.
ABSTRACT Spin‐orbit torque (SOT) provides an efficient electrical pathway for encoding spin states and underpins emerging, ultrafast, and nonvolatile spintronic memories and logic devices. Reducing the switching current density and power consumption remains a central challenge for practical applications.
Zhonghai Yu, Yaohui Du, Mengyang Yan, Pengnan Zhao, Rui Hou, Keqin Li, Lihuan Yang, Kaiwei Guo, Bingyue Bian, Zhengyu Xiao, Lei Cheng, Hongru Wang, Jia‐Min Lai, Zhiyong Quan, Dongsheng Yang, Yakun Liu, Fei Wang, Xiaohong Xu   +17 more
wiley   +1 more source

Offline Handwritten Signature Identification based on Hybrid Features and Proposed Deep Model

Iraqi Journal for Computer Science and Mathematics
Handwritten signature identification is the process of identifying the true identity of an individual by analyzing their signature. This is an important task in applications such as financial transactions, legal documents, and biometric systems. Various
Zainab Hashim, Hanaa Mohsin, Ahmed Alkhayyat   +2 more
doaj   +1 more source

A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection

Advanced Materials, Volume 38, Issue 32, 8 June 2026.
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing, Anubhab Tripathi, Si En Ng, Natalia Yantara, Yue Gong, Qinjie Wu, Yeow Boon Tay, Wen Siang Lew, Yang Chai, Arindam Basu, Nripan Mathews   +10 more
wiley   +1 more source

Deep learning-based data augmentation method and signature verification system for offline handwritten signature

, 2021
Offline handwritten signature verification is a challenging pattern recognition task. One of the most significant limitations of the handwritten signature verification problem is inadequate data for training phases.
Yapici, Muhammed Mutlu, Topaloğlu, Nurettin, Tekerek, ADEM   +2 more
core   +1 more source

Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment

Exploration, Volume 6, Issue 3, June 2026.
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng, Wangzheqi Zhang, Jun Chen, Huang Wu, Lei Wu, Yanhao Qiu, Xiaoming Deng, Chenglong Zhu, Yisheng Chen, Zhijie Zhao, Changli Wang, Xiaomin Zhang   +11 more
wiley   +1 more source

Bitesize Biosecurity: A tool and framework for curating and summarising expert biosecurity advice for farmers using artificial intelligence

Veterinary Record Open, Volume 13, Issue 1, June 2026.
Abstract Background Biosecurity practices mitigate disease risk on farms; however, adoption and consistent implementation remain variable across farmers. Improved communication of biosecurity information could increase uptake, reduce disease incidence and improve productivity, profitability and animal welfare. Methods This project developed a framework
Alexander F. B. Carmichael, Lorna A. Pate, Andrew J. Duncan, Lynsey Melville, Kate Lamont   +4 more
wiley   +1 more source

Offline grammar-based recognition of handwritten sentences [PDF]

, 2006
This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Stochastic Context-Free Grammars (SCFG) extracted from a text corpus. Based on
Zimmermann, M., Chappelier, Jean-Cédric, Zimmermann, Matthias, Bunke, Horst, Bunke, H., Chappelier, J.-C.   +5 more
core   +2 more sources