Zobrazeno 1 - 10
of 47 188
pro vyhledávání: '"P, Mohammadi"'
Alzheimer's disease (AD) is a neurodegenerative disorder marked by memory loss and cognitive decline, making early detection vital for timely intervention. However, early diagnosis is challenging due to the heterogeneous presentation of symptoms. Res
Externí odkaz:
http://arxiv.org/abs/2409.04072
Consider a collection of data generators which could represent, e.g., humans equipped with a smart-phone or wearables. We want to train a personalized (or tailored) model for each data generator even if they provide only small local datasets. The ava
Externí odkaz:
http://arxiv.org/abs/2409.02064
This paper explores a discrete energy state transition model for energy harvesting (EH) in cell-free massive multiple-input multiple-output (CF-mMIMO) networks. Multiple-antenna access points (APs) provide wireless power and information to single-ant
Externí odkaz:
http://arxiv.org/abs/2409.01127
We consider a downlink (DL) massive multiple-input multiple-output (MIMO) system, where different users have different mobility profiles. To support this system, we categorize the users into two disjoint groups according to their mobility profile and
Externí odkaz:
http://arxiv.org/abs/2408.15652
This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, the framework allows for continuous adaptation by temporarily excluding
Externí odkaz:
http://arxiv.org/abs/2408.14864
To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems is imperative. Cell-free massive multiple-input multiple-output (CF-mMIMO) represe
Externí odkaz:
http://arxiv.org/abs/2408.14598
Autor:
Li, Meiyi, Mohammadi, Javad
As the modern electrical grid shifts towards distributed systems, there is an increasing need for rapid decision-making tools. Artificial Intelligence (AI) and Machine Learning (ML) technologies are now pivotal in enhancing the efficiency of power di
Externí odkaz:
http://arxiv.org/abs/2408.13968
Autor:
Mohammadi, Mohammad, Ghosh, Sreejita
Classification of sets of inputs (e.g., images and texts) is an active area of research within both computer vision (CV) and natural language processing (NLP). A common way to represent a set of vectors is to model them as linear subspaces. In this c
Externí odkaz:
http://arxiv.org/abs/2408.13720
This study investigates the reliability of code generation by Large Language Models (LLMs), focusing on identifying and analyzing defects in the generated code. Despite the advanced capabilities of LLMs in automating code generation, ensuring the acc
Externí odkaz:
http://arxiv.org/abs/2408.13372
Autor:
Liwski, Emiliano, Mohammadi, Fatemeh
We introduce the families of solvable and nilpotent matroids, and study their realization spaces and their closures. Specifically, we analyze their associated varieties and their irreducible decompositions. Additionally, we study a subfamily of nilpo
Externí odkaz:
http://arxiv.org/abs/2408.12784