Results 61 to 70 of about 398 (165)

Software reliability modeling for fault detection and fault correction processes considering Burr Type X testing effort function

Frontiers in Applied Mathematics and Statistics
Software reliability analysis is vital for evaluating software quality, where reliability is the probability of failure operation of a system for a specified duration. Numerous SRGMs have been proposed, mainly based on the NHPP to enhance the reliability
Kaushal Kumar, Nesar Ahmad, Zubair Ahmad, Jitendra Kumar   +3 more
doaj   +1 more source

Layered Radial Aquifer Model for Open‐Pit Mine Closure with Managed Aquifer Recharge

Groundwater, EarlyView.
A radially symmetric layered aquifer model (unconfined–aquitard–confined) coupled to a pit‐lake water balance is developed to screen managed aquifer recharge (MAR) after open‐pit mine closure. Dimensionless type curves quantify trade‐offs between pit recovery time, pumping/recycling, and unconfined mounding as functions of aquifer time scales, aquitard
Behzad Ataie Ashtiani
wiley   +1 more source

Generative AI adoption and barriers in the insurance industry

Risk Management and Insurance Review, EarlyView.
Abstract This study examines the adoption of Generative Artificial Intelligence (Gen AI) in the insurance industry through an institutional lens, drawing on semi‐structured interviews with 21 senior insurance professionals. While Gen AI offers significant potential for a data and text‐intensive industry, adoption remains cautious and uneven.
Aisling Owen, Barry Sheehan, Martin Mullins   +2 more
wiley   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Gregor Welna, Hanna Tietgen, Rod J. Snowdon   +6 more
wiley   +1 more source

Automated Surface‐Based Segmentation of Deep Gray Matter Regions Based on Diffusion Tensor Images Reveals Unique Age Trajectories Over the Healthy Lifespan

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
This paper introduces a novel, automated deep gray matter segmentation method that relies exclusively on diffusion‐weighted imaging, eliminating the need for T1‐weighted images. When applied to a lifespan cohort from ages 5 to 90, the technique successfully mapped distinct, nonlinear developmental and aging trajectories for microstructural diffusion ...
Graham Little, J. Alejandro Acosta‐Franco, Christian Beaulieu   +2 more
wiley   +1 more source

Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments

Journal of Field Robotics, Volume 43, Issue 5, Page 3332-3350, August 2026.
ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao, Xueliang Cheng, Keir Groves, Barry Lennox, Ognjen Marjanovic, Simon Watson   +5 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

XmoPipe: A Pipeline for Large‐Scale In‐the‐Wild Human Motion Dataset Construction

Computer Animation and Virtual Worlds, Volume 37, Issue 4, July/August 2026.
A scalable pipeline that automatically collects and annotates in‐the‐wild human motion videos from simple keywords, extracting 3D body and facial motion with high‐level descriptions, enabling diverse and expressive motion datasets beyond the limitations of traditional motion capture. ABSTRACT Large‐scale human motion datasets are essential for training
Nathan Salazar, Emmanuel Dellandréa, Mathieu Lefort, Alexandre Meyer   +3 more
wiley   +1 more source

An Open‐Source Systematic Reviews Integrated System (OSSYRIS) – Streamlining Processes and Standardising Data Structures

Cochrane Evidence Synthesis and Methods, Volume 4, Issue 4, July 2026.
ABSTRACT Introduction Carrying out a systematic review (SR) of the literature entails a high workload and encompasses a variety of very different tasks. The emergence of artificial intelligence tools has brought further opportunities to improve the efficiency and reliability of SRs.
Xavier Bosch‐Capblanch, Christian Auer, A. S. M. Sayem, Guillaume Deschamps, Salvador Camacho, Luís Segura, Salem Al‐Aidroos, George Tsey Sabblah, Kaspar Wyss   +8 more
wiley   +1 more source

Harnessing Generative AI Within Human‐Aligned Constraints: Exploring Control Strategies and Existential Considerations

Engineering Reports, Volume 8, Issue 7, July 2026.
We propose the Powerful‐but‐Limited Generative AI theorem, demonstrating that embedding human‐inspired constraints, such as fixed utility functions and neuro‐symbolic submission layers, ensures generative AI remains controllable by preventing self‐improvement beyond designer intent.
Saeed Banaeian Far, Mohammad Reza Chalak Qazani, Falah Younis Hamode Hamod, Azadeh Imani Rad   +3 more
wiley   +1 more source