Results 131 to 140 of about 75,080 (277)

Multivariate Tests for Comparing Lifetimes of Parallel Systems

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Life testing of engineering systems with dependent components requires robust multivariate methods. Parametric approaches depend on restrictive assumptions, limiting their use in complex or unknown lifetime distribution settings. This study evaluates nonparametric methods for comparing parallel system lifetimes under minimal sample ...
Niladri Chakraborty, Ahmed Maged, Maxim Finkelstein   +2 more
wiley   +1 more source

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

Speech Recognition using Deep Neural Network Neural (DNN) and Deep Belief Network (DBN)

International Journal for Research in Applied Science and Engineering Technology, 2020
openaire   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation

Small, EarlyView.
An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn, Do Kyeong Yun, Mi Hyang Park, Hong Woon Yun, Minh Chien Nguyen, Van Tu Vu, Huamin Li, Pallavi Aggarwal, Woo Jong Yu   +8 more
wiley   +1 more source

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

Small, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco, Shaquib Rahman Ansari, Jiaxi Zhao, Yael del Carmen Suárez‐López, Per Larsson, Alexandra Teleki   +5 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN). [PDF]

Sci Rep
Selvan C, Anwar BH, Naveen S, Bhanu ST.
europepmc   +1 more source

Pixel Lens: A Granular Assessment of Saliency Explanations

Artificial Intelligence for Engineering, EarlyView.
We propose a pipeline that detects shortcut‐dominated classifiers by comparing predictions on clean and shortcut‐perturbed images and checking dominance via a Shapley‐based ground‐truth explainer. The workflow quantifies the explanation quality of different explainable artificial intelligence (XAI) methods.
Kanglong Fan, Chen Ma, Yifan Peng, Jinglong Yang, Qilin Sun, Yuming Fang   +5 more
wiley   +1 more source

Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection. [PDF]

Diagnostics (Basel)
Bhatia I, Aarti, Ansarullah SI, Amin F, Alabrah A.   +4 more
europepmc   +1 more source