Zobrazeno 1 - 10
of 6 295
pro vyhledávání: '"Alif, A."'
We study strategic interactions in a broker-mediated market. A broker provides liquidity to an informed trader and to noise traders while managing inventory in the lit market. The broker and the informed trader maximise their trading performance whil
Externí odkaz:
http://arxiv.org/abs/2412.20847
Autor:
Velasco, Alejandro, Rodriguez-Cardenas, Daniel, Palacio, David N., Alif, Luftar Rahman, Poshyvanyk, Denys
Large Language Models (LLMs) have shown significant potential in automating software engineering tasks, particularly in code generation. However, current evaluation benchmarks, which primarily focus on accuracy, fall short in assessing the quality of
Externí odkaz:
http://arxiv.org/abs/2412.18989
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease management. However, this interconnected ecosystem faces significant vulnerabilities with the advent o
Externí odkaz:
http://arxiv.org/abs/2412.05904
Autor:
Qayyum, Alif Bin Abdul, Mertins, Susan D., Paulson, Amanda K., Urban, Nathan M., Yoon, Byung-Jun
The data-driven drug design problem can be formulated as an optimization task of a potentially expensive black-box objective function over a huge high-dimensional and structured molecular space. The junction tree variational autoencoder (JTVAE) has b
Externí odkaz:
http://arxiv.org/abs/2411.03460
Autor:
Alif, Mujadded Al Rabbani
Accurate vehicle detection is essential for the development of intelligent transportation systems, autonomous driving, and traffic monitoring. This paper presents a detailed analysis of YOLO11, the latest advancement in the YOLO series of deep learni
Externí odkaz:
http://arxiv.org/abs/2410.22898
Limited public understanding of legal processes and inconsistent verdicts in the Indonesian court system led to widespread dissatisfaction and increased stress on judges. This study addresses these issues by developing a deep learning-based predictiv
Externí odkaz:
http://arxiv.org/abs/2410.20104
The world is moving towards clean and renewable energy sources, such as wind energy, in an attempt to reduce greenhouse gas emissions that contribute to global warming. To enhance the analysis and storage of wind data, we introduce a deep learning fr
Externí odkaz:
http://arxiv.org/abs/2409.17367
Autor:
Alif, Mujadded Al Rabbani
In the realm of construction safety, the detection of personal protective equipment, such as helmets, plays a critical role in preventing workplace injuries. This paper details the development and evaluation of convolutional neural networks (CNNs) de
Externí odkaz:
http://arxiv.org/abs/2409.12669
Autor:
Alif, Mujadded Al Rabbani
Retinal fundus imaging plays an essential role in diagnosing various stages of diabetic retinopathy, where exudates are critical markers of early disease onset. Prompt detection of these exudates is pivotal for enabling optometrists to arrest or sign
Externí odkaz:
http://arxiv.org/abs/2408.06784
Autor:
Utsha, Rittik Basak, Alif, Muhtasim Noor, Rayhan, Yeasir, Hashem, Tanzima, Ali, Mohammad Eunus
Crime prediction is a widely studied research problem due to its importance in ensuring safety of city dwellers. Starting from statistical and classical machine learning based crime prediction methods, in recent years researchers have focused on expl
Externí odkaz:
http://arxiv.org/abs/2407.19324