Results 171 to 180 of about 13,631 (251)

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source

Is the well‐known phrase ‘small is beautiful’ true of small transnational education institutions?

British Educational Research Journal, Volume 52, Issue 4, Page 2777-2796, August 2026.
Abstract The purpose of this research is to consider the potential attractiveness of operating a small international branch campus (IBC). Drawing upon resource‐based and legitimacy theories, we examine the strengths, weaknesses, opportunities and threats associated with the business model that is based on having a small institution size.
Stephen Wilkins, Joe Hazzam
wiley   +1 more source

Using Functional Resonance Analysis Methodology to identify potential safety improvements in the process of administering medications by infusion in a veterinary hospital. [PDF]

Front Vet Sci
McMillan M.
europepmc   +1 more source

Investigating the Impact of Fast‐Paced Digital Content, Social Media Engagement, and Lifestyle Factors on Attention, Cognitive Load, and Behavioral Impulsivity: A Machine Learning Approach

Brain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background The increase in fast‐paced digital content and changes in lifestyle among young adults have raised concerns about their effects on cognitive functions. While many studies have looked into this connection, few have used strong machine learning models to predict subclinical cognitive outcomes based on real‐world, self‐reported ...
Arfatul Islam Asif, Sanjoy Das Joy, Mustakim Billah, Unayes Ahmed Khan, Ibnul Mansib, Sheikh Md. Azizul Hoque Munna, Anupam Kumar Bairagi, Abdullah Al Noman   +7 more
wiley   +1 more source

A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel. [PDF]

PLoS One
Ronca V, Capotorto R, Giorgi A, Dello Iacono F, Cecchetti M, Napoletano L, Brambati F, Borghini G, Aricò P, Di Flumeri G.   +9 more
europepmc   +1 more source

Rethinking Climate Change on the Role of Human Power Generation, Alternative Perspectives, Potential Solutions, and a Plea for Action

Chemie Ingenieur Technik, Volume 98, Issue 8, Page 514-524, August 2026.
All energy matters Let us broaden the discussion on solutions to climate change. Greenhouse gases have upset the delicate equilibrium of the Earth's energy balance. Consequently, all sources of heat affect the temperature of the Earth. Although the amount of additional heat generated by humans is a fraction of that produced by the sun, it is generated ...
Martin Bertau, Gerald Steiner, Tom Harwood   +2 more
wiley   +1 more source

Multitasking and workplace wellbeing: the roles of job stress and job autonomy. [PDF]

Front Psychol
Wei Z, Abdul-Ghani R, Mat N, Mat Isa R.
europepmc   +1 more source

Understanding When Attention Helps: A Systematic Empirical Study of Attention Mechanisms in Medical Image Classification

Engineering Reports, Volume 8, Issue 8, August 2026.
We present a unified benchmark of fourteen attention mechanisms across multiple CNN backbones and diverse medical imaging datasets, revealing that attention effectiveness is highly scenario‐ and architecture‐dependent. The study provides practical, evidence‐based guidance for selecting attention designs that yield reliable performance gains in medical ...
Nujhat Raisa Arpa, Mahtab Newaz, Md. Mazharul Islam Nibir, Ramisa Lamya, Deponker Sarker Depto, M. R. C. Mahdy   +5 more
wiley   +1 more source

Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations

Engineering Reports, Volume 8, Issue 8, August 2026.
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley   +1 more source