Zobrazeno 1 - 10
of 312 705
pro vyhledávání: '"A., Islam"'
Autor:
Islam, Md Mirajul, Uddin, Md Nahiyan, Hasana, Maoyejatun, Pandit, Debojit, Rahman, Nafis Mahmud, Chellappan, Sriram, Azam, Sami, Islam, A. B. M. Alim Al
People exhibit unique emotional responses. In the same scenario, the emotional reactions of two individuals can be either similar or vastly different. For instance, consider one person's reaction to an invitation to smoke versus another person's resp
Externí odkaz:
http://arxiv.org/abs/2412.19041
Autor:
Rahman, Md. Naimur, Sozol, Shafak Shahriar, Samsuzzaman, Md., Hossin, Md. Shahin, Islam, Mohammad Tariqul, Islam, S. M. Taohidul, Maniruzzaman, Md.
In the modern agricultural industry, technology plays a crucial role in the advancement of cultivation. To increase crop productivity, soil require some specific characteristics. For watermelon cultivation, soil needs to be sandy and of high temperat
Externí odkaz:
http://arxiv.org/abs/2411.17731
Autor:
Uddin, Md. Kutub, Islam, Md. Saiful, Jahin, Md Abrar, Irfan, Md. Tanjid Hossen, Seam, Md. Saiful Islam, Mridha, M. F.
In the design of cellular manufacturing systems (CMS), numerous technological and managerial decisions must be made at both the design and operational stages. The first step in designing a CMS involves grouping parts and machines. In this paper, four
Externí odkaz:
http://arxiv.org/abs/2411.15361
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Autor:
Islam, Samiha, Mahmud, Muhammad Zawad, Alve, Shahran Rahman, Chowdhury, Md. Mejbah Ullah, Oishe, Faija Islam
The goal of the present study is to analyze an application of deep learning models in order to augment the diagnostic performance of oral squamous cell carcinoma (OSCC) with a longitudinal cohort study using the Histopathological Imaging Database for
Externí odkaz:
http://arxiv.org/abs/2411.14184
Autor:
Rabby, Md Insiat Islam, Sharif, Mohammad Ali Rob, Islam, Mohammad Tarequl, Islam, Md. Rakidul, Alam, Md. Mahidul
This article delves into a numerical exploration of two-dimensional, incompressible, laminar flow within a confined diverging jet. The study aims to understand how variations in the inlet opening fraction and Reynolds number affect the heat transfer
Externí odkaz:
http://arxiv.org/abs/2411.08573
This paper focuses on the generalized grouping problem in the context of cellular manufacturing systems (CMS), where parts may have more than one process route. A process route lists the machines corresponding to each part of the operation. Inspired
Externí odkaz:
http://arxiv.org/abs/2411.04685
Autor:
Sarkar, Showmitra Kumar, Haydar, Mafrid, Rudra, Rhyme Rubayet, Mazumder, Tanmoy, Nur, Md. Sadmin, Islam, Md. Shahriar, Sany, Shakib Mohammad, Noor, Tanzim Al, Ahmed, Shakil, Ahmad, Myisha, Sakib, Annajmus, Ravela, Sai
The research assesses soil salinity in the southwest coastal region of Bangladesh, collecting a total of 162 topsoil samples between March 1 and March 9, 2024, and processing them following the standard operating procedure for soil electrical conduct
Externí odkaz:
http://arxiv.org/abs/2412.19740
Autor:
Borji, Arezoo, Haick, Hossam, Pohn, Birgit, Graf, Antonia, Zakall, Jana, Islam, S M Ragib Shahriar, Kronreif, Gernot, Kovatchki, Daniel, Strohmer, Heinz, Hatamikia, Sepideh
In vitro fertilization (IVF) is a widely utilized assisted reproductive technology, yet predicting its success remains challenging due to the multifaceted interplay of clinical, demographic, and procedural factors. This study develops a robust artifi
Externí odkaz:
http://arxiv.org/abs/2412.19696
Autor:
Zakall, Jana, Pohn, Birgit, Graf, Antonia, Kovatchki, Daniel, Borji, Arezoo, Islam, Ragib Shahriar, Haick, Hossam, Strohmer, Heinz, Hatamikia, Sepideh
Artificial intelligence (AI) has emerged as a powerful tool to enhance decision-making and optimize treatment protocols in in vitro fertilization (IVF). In particular, AI shows significant promise in supporting decision-making during the ovarian stim
Externí odkaz:
http://arxiv.org/abs/2412.19688
Transition-metal borides (TMBs) have long attracted attention of the researchers because of their unique mechanical and electrical properties including superconductivity. We have explored the structural, mechanical, electronic, optical, and some ther
Externí odkaz:
http://arxiv.org/abs/2412.19687