Zobrazeno 1 - 10
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pro vyhledávání: '"Alam, Md. A."'
The large-scale deployment of Solidity smart contracts on the Ethereum mainnet has increasingly attracted financially-motivated attackers in recent years. A few now-infamous attacks in Ethereum's history includes DAO attack in 2016 (50 million dollar
Externí odkaz:
http://arxiv.org/abs/2409.10574
The increasing reliance on machine learning (ML) in computer security, particularly for malware classification, has driven significant advancements. However, the replicability and reproducibility of these results are often overlooked, leading to chal
Externí odkaz:
http://arxiv.org/abs/2409.07397
Autor:
Alam, Md Ferdous, Ahmed, Faez
The creation of manufacturable and editable 3D shapes through Computer-Aided Design (CAD) remains a highly manual and time-consuming task, hampered by the complex topology of boundary representations of 3D solids and unintuitive design tools. This pa
Externí odkaz:
http://arxiv.org/abs/2409.16294
Our study presents a multifaceted approach to enhancing user interaction and content relevance in social media platforms through a federated learning framework. We introduce personalized GPT and Context-based Social Media LLM models, utilizing federa
Externí odkaz:
http://arxiv.org/abs/2408.05243
Our paper introduces a novel approach to social network information retrieval and user engagement through a personalized chatbot system empowered by Federated Learning GPT. The system is designed to seamlessly aggregate and curate diverse social medi
Externí odkaz:
http://arxiv.org/abs/2408.05242
Ultrasound Shear Wave Elastography (SWE) is a noteworthy tool for in-vivo noninvasive tissue pathology assessment. State-of-the-art techniques can generate reasonable estimates of tissue elasticity, but high-quality and noise-resiliency in SWE recons
Externí odkaz:
http://arxiv.org/abs/2407.20558
Autor:
Alam, Md. Jahin, Hasan, Md. Kamrul
Ultrasound shear wave elastography (SWE) is a noninvasive way to measure stiffness of soft tissue for medical diagnosis. In SWE imaging, an acoustic radiation force induces tissue displacement, which creates shear waves (SWs) that travel laterally th
Externí odkaz:
http://arxiv.org/abs/2407.20561
Autor:
Puppala, Sai, Hossain, Ismail, Alam, Md Jahangir, Talukder, Sajedul, Talukder, Zahidur, Bahauddin, Syed
Federated Learning (FL) has emerged as a transformative approach for enabling distributed machine learning while preserving user privacy, yet it faces challenges like communication inefficiencies and reliance on centralized infrastructures, leading t
Externí odkaz:
http://arxiv.org/abs/2407.18387
Autor:
Puppala, Sai, Hossain, Ismail, Alam, Md Jahangir, Talukder, Sajedul, Ferdaus, Jannatul, Hasan, Mahedi, Pisupati, Sameera, Mathukumilli, Shanmukh
Federated learning has become a significant approach for training machine learning models using decentralized data without necessitating the sharing of this data. Recently, the incorporation of generative artificial intelligence (AI) methods has prov
Externí odkaz:
http://arxiv.org/abs/2407.18358
Autor:
Alam, Md Tahmidul, Chen, Jiahao, Stephenson, Kenneth, Mamun, Md Abdullah-Al, Mazumder, Abdullah Al Mamun, Pasayat, Shubhra S., Khan, Asif, Gupta, Chirag
High voltage (~2 kV) AlGaN-channel HEMTs were fabricated with 64% Aluminum composition in the channel. The average on-resistance was ~75 ohm. mm (~21 miliohm. cm^2) for LGD = 20 microns. Breakdown voltage reached >3 kV (tool limit) before passivation
Externí odkaz:
http://arxiv.org/abs/2407.10354