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pro vyhledávání: '"Muhammad Akhtar"'
Accurate weather and climate modeling is critical for both scientific advancement and safeguarding communities against environmental risks. Traditional approaches rely heavily on Numerical Weather Prediction (NWP) models, which simulate energy and ma
Externí odkaz:
http://arxiv.org/abs/2409.07585
Autor:
Danish, Muhammad Sohail, Khan, Muhammad Haris, Munir, Muhammad Akhtar, Sarfraz, M. Saquib, Ali, Mohsen
In this work, we tackle the problem of domain generalization for object detection, specifically focusing on the scenario where only a single source domain is available. We propose an effective approach that involves two key steps: diversifying the so
Externí odkaz:
http://arxiv.org/abs/2405.14497
Deep learning based object detectors struggle generalizing to a new target domain bearing significant variations in object and background. Most current methods align domains by using image or instance-level adversarial feature alignment. This often s
Externí odkaz:
http://arxiv.org/abs/2311.04815
Albeit revealing impressive predictive performance for several computer vision tasks, deep neural networks (DNNs) are prone to making overconfident predictions. This limits the adoption and wider utilization of DNNs in many safety-critical applicatio
Externí odkaz:
http://arxiv.org/abs/2311.03570
Publikováno v:
FWU Journal of Social Sciences. Fall2024, Vol. 18 Issue 3, p111-119. 9p.
Publikováno v:
Liaquat National Journal of Primary Care, Vol 6, Iss 3, Pp 207-212 (2024)
Background: Acute cholecystitis is the most frequent illnesses that necessitate surgical procedures in an emergency. Research indicates that performing cholecystectomy at an early stage leads to improved results, reduced hospital stays, and lower he
Externí odkaz:
https://doaj.org/article/dd173b81015a42fba62b9902fbccaf8d
Deep neural networks (DNNs) have enabled astounding progress in several vision-based problems. Despite showing high predictive accuracy, recently, several works have revealed that they tend to provide overconfident predictions and thus are poorly cal
Externí odkaz:
http://arxiv.org/abs/2303.14404
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39521- (2024)
Based upon an extended Technology Acceptance Model (TAM), this study aims to investigate the impact of financial services knowledge, familiarity with the use of artificial intelligence, government support, and user innovativeness on Fintech adoption
Externí odkaz:
https://doaj.org/article/4cf9c41becc04d5e87f818bd2b03a3f1
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Knee and hip replacement surgeries have revolutionised orthopaedic medicine by providing individuals with surgeries resulting in pain relief, improved mobility and a better quality of life. NHS Fife has been collecting routine data since 1998 on pati
Externí odkaz:
https://doaj.org/article/a03df20810844cf98254e3ff79f7cc16
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36939- (2024)
This study examines the complex relationships necessary for a sustainable economic recovery, focusing on the interplay between contracts for renewable energy, natural resource use, corporate social responsibility (CSR), and rights frameworks. Motivat
Externí odkaz:
https://doaj.org/article/93b5d15520ca499fbce57eb59fd51069