Results 111 to 120 of about 1,721,209 (309)

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks

Machine Learning: Science and Technology
This paper presents BiCrossNet, a novel approach to cross-view geolocalization utilizing binary neural networks to significantly reduce computational complexity while maintaining competitive performance.
Federico Fontana, Thomas Jantos, Jan Steinbrener, Luigi Cinque, Gian Luca Foresti, Bernhard Rinner   +5 more
doaj   +1 more source

A multivariate binary decision tree classifier based on shallow neural network

Научно-технический вестник информационных технологий, механики и оптики
In this paper, a novel decision tree classifier based on shallow neural networks with piecewise and nonlinear transformation activation functions are presented.
A. R. Marakhimov, J. K. Kudaybergenov, K. K. Khudaybergenov, U. R. Ohundadaev   +3 more
doaj   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

VoteSim: Voting-Based Binary Code Similarity Detection for Vulnerability Identification in IoT Firmware

Applied Sciences
The widespread integration of third-party components (TPCs) in Internet of Things (IoT) firmware significantly increases the risk of software vulnerabilities, especially in resource-constrained devices deployed in sensitive environments.
Keda Sun, Shize Zhou, Yuwei Meng, Wei Ruan, Liang Chen   +4 more
doaj   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Jonas Riisnaes Karl, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification

Remote Sensing
Hyperspectral remote sensing technology is swiftly evolving, prioritizing affordability, enhanced portability, seamless integration, sophisticated intelligence, and immediate processing capabilities. The leading model for classifying hyperspectral images,
Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang   +4 more
doaj   +1 more source

Fast object detection based on binary deep convolution neural networks

CAAI Transactions on Intelligence Technology, 2018
In this study, a fast object detection algorithm based on binary deep convolution neural networks (CNNs) is proposed. Convolution kernels of different sizes are used to predict classes and bounding boxes of multi-scale objects directly in the last ...
Siyang Sun, Yingjie Yin, Yingjie Yin, Xingang Wang, De Xu, Wenqi Wu, Qingyi Gu   +6 more
doaj   +1 more source

Binary Neural Networks in FPGAs: Architectures, Tool Flows and Hardware Comparisons. [PDF]

Sensors (Basel), 2023
Su Y, Seng KP, Ang LM, Smith J.
europepmc   +1 more source