To enhance the safety and stability of autonomous vehicles, we present a deep learning platooning-based video information-sharing Internet of Things framework in this study.
Zishuo Zhou +3 more
doaj +1 more source
Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou +14 more
wiley +1 more source
Idempotent Factorizations of Square-Free Integers
We explore the class of positive integers n that admit idempotent factorizations n = p ¯ q ¯ such that λ ( n ) ∣ ( p ¯ − 1 ) ( q ¯ − 1 ) , where λ is the Carmichael lambda ...
Barry Fagin
doaj +1 more source
Scalability using effects [PDF]
This note is about using computational effects for scalability. With this method, the specification gets more and more complex while its semantics gets more and more correct.
Duval, Dominique
core +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
Two topologies are better than one [PDF]
Partially ordered sets and metric spaces are used in studying semantics in Computer Science. Sets with both these structures are hence of particular interest.
O'Neill, Simon
core
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Lexical Semantics and Knowledge Representation in Multilingual Text Generation Manfred Stede (Technische Universität Berlin) Boston: Kluwer Academic Publishers (The Kluwer international series in engineering and computer science, volume 492), 1999, xv+219 pp; hardbound, ISBN 0-7923-8419-9, $129.00, £84.00, Dfl 265.00 [PDF]
Barbara Di Eugenio
openalex +1 more source

