Results 91 to 100 of about 36,380 (225)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Node coverage optimization algorithm for wireless sensor networks based on improved grey wolf optimizer

Journal of Algorithms & Computational Technology, 2019
Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang, Huamao Xie, Zhongdong Hu, Dahai Li, Junling Wang, Wen Liang   +5 more
doaj   +1 more source

A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy

Journal of Field Robotics, EarlyView.
ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun, Ren Yuke, Wei Jingtao, Zhang Shupeng, Zhang Wei   +4 more
wiley   +1 more source

Application of Visual Clustering Properties of Self Organizing Map in Machine-part Cell Formation

, 2012
Cellular manufacturing (CM) is an approach that includes both flexibility of job shops and high production rate of flow lines. Although CM provides many benefits in reducing throughput times, setup times, work-in-process inventories but the design of CM ...
Chattopadhyay, Manojit, Dan, Pranab K., Majumdar, Sitanath   +2 more
core   +1 more source

Hybrid Genetic Grey Wolf Algorithm for Large‐Scale Global Optimization

Complexity, 2019
Most real‐world optimization problems tackle a large number of decision variables, known as Large‐Scale Global Optimization (LSGO) problems. In general, the metaheuristic algorithms for solving such problems often suffer from the “curse of dimensionality.” In order to improve the disadvantage of Grey Wolf Optimizer when solving the LSGO problems, three
Qinghua Gu, Xuexian Li, Song Jiang
openaire   +2 more sources

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

Echo State Networks: analysis, training and predictive control

, 2019
The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Networks (ESNs), a particular kind of Recurrent Neural Networks. First, a condition guaranteeing incremetal
albertini, baccouche, camacho, felix, friedman, graves, jaeger, jaeger, lukosevicius, marian maciejowski, matthew, plöger, schmidhuber   +12 more
core   +1 more source

Suitable habitat of Himalayan wolf in Upper Mustang, Annapurna Conservation Area, Nepal

Wildlife Biology, EarlyView.
Decades ago, the Himalayan wolf Canis lupus chanco, a genetically distinct sub‐species of the gray wolf Canis lupus, faced persecution by local communities in the Nepalese Himalayas. Recently, wolf populations have returned and recolonized, sparking concerns about conflicts over livestock depredation, and emphasizing the urgent need for comprehensive ...
Deu Bahadur Rana, Jhamak Bahadur Karki, HimLal Shrestha, Thakur Silwal, Bikash Ghimire, Bikram Shrestha   +5 more
wiley   +1 more source

Hybrid coati–grey wolf optimization with application to tuning linear quadratic regulator controller of active suspension systems

Engineering Science and Technology, an International Journal
Vehicle suspension systems have become increasingly crucial for both driving safety and comfort. Active suspension systems can dynamically adjust suspension characteristics in real-time by introducing force into the system. Designing a controller for the
Hasan Başak
doaj   +1 more source