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pro vyhledávání: '"Ahmed, M A"'
Autor:
Salih, Ahmed M
Data pre-processing is a significant step in machine learning to improve the performance of the model and decreases the running time. This might include dealing with missing values, outliers detection and removing, data augmentation, dimensionality r
Externí odkaz:
http://arxiv.org/abs/2409.00155
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based RGB sensors. However, these sensors often struggle with issues like m
Externí odkaz:
http://arxiv.org/abs/2408.05321
Autor:
Li, Qilei, Abdelmoniem, Ahmed M.
Federated Learning (FL) is a distributed machine learning diagram that enables multiple clients to collaboratively train a global model without sharing their private local data. However, FL systems are vulnerable to attacks that are happening in mali
Externí odkaz:
http://arxiv.org/abs/2408.02813
Autor:
Salih, Ahmed M, Wang, Yuhe
Explainable artificial intelligence (XAI) is a set of tools and algorithms that applied or embedded to machine learning models to understand and interpret the models. They are recommended especially for complex or advanced models including deep neura
Externí odkaz:
http://arxiv.org/abs/2407.12177
Distribution shift over time occurs in many settings. Leveraging historical data is necessary to learn a model for the last time point when limited data is available in the final period, yet few methods have been developed specifically for this purpo
Externí odkaz:
http://arxiv.org/abs/2407.09642
The training of large models, involving fine-tuning, faces the scarcity of high-quality data. Compared to the solutions based on centralized data centers, updating large models in the Internet of Things (IoT) faces challenges in coordinating knowledg
Externí odkaz:
http://arxiv.org/abs/2407.05268
Autor:
Salih, Ahmed M
Explainable Artificial Intelligence (XAI) methods help to understand the internal mechanism of machine learning models and how they reach a specific decision or made a specific action. The list of informative features is one of the most common output
Externí odkaz:
http://arxiv.org/abs/2406.11524
Publikováno v:
IEEE Communications Magazine, vol. 62, no. 9, pp. 52-58, September 2024
Integrated sensing and communications (ISAC) has emerged as a means to efficiently utilize spectrum and thereby save cost and power. At the higher end of the spectrum, ISAC systems operate at wideband using large antenna arrays to meet the stringent
Externí odkaz:
http://arxiv.org/abs/2406.03162
Reinforcement Learning from Human Feedback (RLHF) has enabled significant advancements within language modeling for powerful, instruction-following models. However, the alignment of these models remains a pressing challenge as the policy tends to ove
Externí odkaz:
http://arxiv.org/abs/2406.01013
Autor:
Hamed, Ahmed. M., Sawy, Fatma. H.
The analysis for the strange and multi-strange hadrons production is presented for proton-proton (pp) collisions at $\sqrt{S_{_{NN}}} =$ 200 GeV as reported by the PYTHIA 8 event generator simulations. The strangeness enhancement is studied in detail
Externí odkaz:
http://arxiv.org/abs/2406.00693