Zobrazeno 1 - 10
of 171 024
pro vyhledávání: '"A, Ashraf"'
Skin cancer is a serious and potentially fatal disease caused by DNA damage. Early detection significantly increases survival rates, making accurate diagnosis crucial. In this groundbreaking study, we present a hybrid framework based on Deep Learning
Externí odkaz:
http://arxiv.org/abs/2410.14489
Autor:
Khatun, Rabea, Tasnim, Wahia, Akter, Maksuda, Islam, Md Manowarul, Uddin, Md. Ashraf, Mahmud, Md. Zulfiker, Das, Saurav Chandra
Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Identifying the molecular mechanisms and biomarkers linked to GBC progression has been a significant challenge in scientific research. Few recent studies ha
Externí odkaz:
http://arxiv.org/abs/2410.14433
Autor:
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara
Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of climate change. So far, the majority of approaches is based on hydraulics
Externí odkaz:
http://arxiv.org/abs/2410.12461
Autor:
Rony, Md Rashad Al Hasan, Shaha, Sudipto Kumar, Hasan, Rakib Al, Dey, Sumon Kanti, Rafi, Amzad Hossain, Sirajee, Ashraf Hasan, Lehmann, Jens
Bengali is the seventh most spoken language on earth, yet considered a low-resource language in the field of natural language processing (NLP). Question answering over unstructured text is a challenging NLP task as it requires understanding both ques
Externí odkaz:
http://arxiv.org/abs/2410.10229
Automatic speech recognition (ASR) systems have traditionally been evaluated using English datasets, with the word error rate (WER) serving as the predominant metric. WER's simplicity and ease of interpretation have contributed to its widespread adop
Externí odkaz:
http://arxiv.org/abs/2410.07400
As large engineering efforts go towards improving the resolution of mobile, AR and VR displays, it is important to know the maximum resolution at which further improvements bring no noticeable benefit. This limit is often referred to as the "retinal
Externí odkaz:
http://arxiv.org/abs/2410.06068
EMGTTL: Transformers-Based Transfer Learning for Classification of ADL using Raw Surface EMG Signals
Surface Electromyography (sEMG) is widely studied for its applications in rehabilitation, prosthetics, robotic arm control, and human-machine interaction. However, classifying Activities of Daily Living (ADL) using sEMG signals often requires extensi
Externí odkaz:
http://arxiv.org/abs/2410.00586
Blockchain is a growing decentralized system built for transparency and immutability. There have been several major attacks on blockchain-based systems, leaving a gap in the trustability of this system. This article presents a comprehensive study of
Externí odkaz:
http://arxiv.org/abs/2409.10109
Many organizations were forced to quickly transition to the work-from-anywhere (WFA) model as a necessity to continue with their operations and remain in business despite the restrictions imposed during the COVID-19 pandemic. Many decisions were made
Externí odkaz:
http://arxiv.org/abs/2409.07567
Autor:
elShehaby, Mohamed, Matrawy, Ashraf
This paper proposes a novel Perturb-ability Score (PS) that can be used to identify Network Intrusion Detection Systems (NIDS) features that can be easily manipulated by attackers in the problem-space. We demonstrate that using PS to select only non-
Externí odkaz:
http://arxiv.org/abs/2409.07448