Results 151 to 160 of about 3,892,997 (230)

An Innovative Approach to Multi‐Valued Logic

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
The current generation of computer systems operates on the principles of binary logic, which encompasses both logical and arithmetic operations. However, silicon technology has reached its peak performance, prompting researchers to explore alternative methods for enhancing computational efficiency. One such method is the adoption of Multi‐Valued Logic (
Ali Mokhtari, Peyman Kabiri
wiley   +1 more source

Differential Evolution for Multiobjective Portfolio Optimization [PDF]

Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Thiemo Krink, Sandra Paterlini
core  

FPGA‐Based Real‐Time Implementation of Closed‐Loop Brain‐Controlled Eye Movement System

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents a comprehensive closed‐loop brain‐eye movement framework, spanning parametric modelling, dynamic analysis and real‐time FPGA implementation. A simplified first‐order oculomotor model was derived from the classical Robinson formulation to preserve the essential neural‐mechanical feedback structure while enabling efficient ...
Guodao Zhang, Yupeng Li, Yanjie Lu, Genfu Yang, Xiaotian Pan, Jing Wang   +5 more
wiley   +1 more source

Climatic–Anthropogenic Synergy Drives Escalating Minimum Area Requirements and Connectivity‐Protection Mismatch in a Karst‐Endemic Primate

Integrative Zoology, EarlyView.
Climate change and anthropogenic activities drive antagonistic degradation of landscape connectivity for endangered François’ langur (1987–2024), causing 48.8% habitat loss, north‐south fragmentation, and centroid migration (1.2 km/yr). Despite protected areas buffering connectivity, static management fails dynamic priority habitats; we propose ...
Guangmei Yang, Heqin Cao, Tuo Shen, Jipeng Tian, Yixin Diao, Haijun Su   +5 more
wiley   +1 more source

A Lightweight Deep Neural Network for Individual Leopard Identification: Supporting Movement Ecology in the Taihang Mountains of Henan

Integrative Zoology, EarlyView.
We developed LeoNet, a lightweight deep learning model for leopard individual identification. It achieved 97.42% accuracy and was robust to age‐related pattern changes and unfamiliar individuals. Applied to camera‐trap data from the Taihang Mountains, LeoNet identified 41 wild North China leopards and generated individual‐level records to support ...
Jing He, Guoqing Shangguan, Yu Li, Fuming Ma, Zhishu Xiao, Mingliang Fan, Zhuo Chen, Junzhan Ren, Yingfeng Ren, Yunlong Wang, Tianping Wang, Hua Yang, Hualei Shen, Xiaohong Chen   +13 more
wiley   +1 more source

Network Structure and the Efficiency Gains from Mergers: Evidence from U.S. Freight Railroads

The RAND Journal of Economics, EarlyView.
ABSTRACT The trade‐off between market power and efficiency gains is central to antitrust analyses of mergers, but empirical evidence quantifying efficiencies remains limited. Using transaction‐level data from U.S. freight railroads (1985–2005), this article quantifies merger‐induced cost efficiencies, driven mainly by eliminating inter‐railroad ...
Yanyou Chen
wiley   +1 more source

Future of edge AI in biodiversity monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet, Kate E. Jones, Duncan Wilson   +2 more
wiley   +1 more source

A tutorial for understanding SEM using R: Where do all the numbers come from?

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source