Conference paper: Recent submissions

Now showing items 41-60 of 61

Hinglish Products Review-Based Sentiment Analysis on Using Ml Algorithms

Ahmed, Sabbir; Sazzadur Ahmed, Md. (2024-12-19)

In the realm of e-commerce, understanding consumer sentiment towards products is paramount for businesses to thrive. With the exponential growth of online shopping in India, an increasing number of customers express their ...
Dynamic Spectrum Allocation and Pricing in CR-NAN for Smart Grid Using Machine Learning Techniques

Hosen;, Md Sabbir; Silmee;, Sidratul Montaha; Shamim, Md. Mehadi Hasan (Scopus, 2024-08-22)

In the evolving landscape of smart grids, ensuring efficient and reliable communication through cognitive radio-based neighborhood area networks (CR-NAN) is paramount. This paper introduces an innovative machine learning-based ...
Drinking Addiction Predictive Model Using Body Characteristics Machine Learning Approach

Karmakar, Mousumi; Kafi, Md. Abdullah Al; Sabbir, Wahid; Afridi, Arafat Sahin; Mamun, Dewan (Scopus, 2024-08-08)

Alcohol addiction exacts a toll on personal well-being and community dynamics, causing profound losses in health, relationships, and societal well-being. Our study is dedicated to predicting drinkers’ types based on body ...
EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images

Hasan, Md. Zahid; Hossain, Shahed; Jim, Risul Islam; Bulbul, Abdullah Al-Mamun; Rahman, Md. Tanvir; Moni, Mohammad Ali (Scopus, 2024-10-31)

Breast cancer is a complex and often fatal malignancy in women worldwide, requiring thorough medical examinations. Accurately detecting breast cancer is challenging due to its diverse forms, stages, symptoms, and diagnostic ...
Effective Digital Leadership Among Construction Industry Professionals: Analysis of Core Competencies

Ahmed, Shakil; Rahman, Rahimi A.; Lee, Yong Siang; Shahruddin, Syafizal (Scopus, 2024-07-10)

The construction industry is currently experiencing a major shift toward Industry 4.0. Despite this transformation, it still lags behind other industries, prompting a need for rapid and smooth digital adoption. Digital ...
Economic Feasibility and Environmental Impact of Photovoltaic Rooftop Systems in Car Parking Areas with EV Charging Station in Bangladesh

Safi;, Md.; Chowdhury, Shawon (Scopus, 2024-06-20)

Bangladesh receives enough sunlight to generate electricity, so the government has actively supported the use of photovoltaic power systems, or solar energy, to generate electricity. It should be ecologically sustainable ...
Dispersion Engineered All Normal Diffused Silicon Nitride Waveguide for Optical Frequency Comb Generation

Faisal;, Mohammed; Karim;, M R; Rahman;, BMA; Ghosh, Sampad (Scopus, 2024-12-25)

An Optical Frequency Comb has been numerically generated using a Silicon Nitride Waveguide. Geometrical parameters have been optimized for all normal dispersion profiles. Using a dual-wavelength pump around 1.55 μm in the ...
Dispersion-Engineered Silicon Carbide Channel Waveguide for Mid-Infrared Region Supercontinuum Generation

Rafi, Rakayet; Zakir, Zahida; Nath;, Runi; Sabuz;, Md.; Karim;, M R; Rahman, B (Scopus, 2024-12-25)

Supercontinuum generation in mid-infrared (mid-IR) regime is critical for major applications. This paper explores this phenomenon in Silicon Carbide based channel waveguide with Silica cladding. We numerically investigated ...
Green Building Technology Implementation in Malaysian Construction Projects: Barriers and Strategies

A. Termizi, Azwansafwan; Omer, Mazen M.; Rahman, Rahimi A.; Alias, Ahmad Rizal; Almutairi, Saud (2024-12-29)

Green Building (GB) is a crucial building practice that minimizes environmental impact and promotes environmental benefits. Green Building Technologies (GBT) are essential for achieving comprehensive sustainability in the ...
Design and Investigation of D-Shaped Photonic Crystal Fiber-Based Plasmonic Biosensor

Khan, Md Shohag; Hossain, Md Nadim; Paul, Bikash Kumar; Morshed, Monir; Aktar, Mst. Nargis (Scopus, 2024-07-14)

new D-shaped photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor has been introduced for refractive index (RI) sensing. The proposed sensor is designed and numerically investigated by the Full Vector ...
DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model

Rahman, Md. Ashikur; Ali, Md. Mamun; Ahmed, Kawsar (Scopus, 2024-12-24)

Quorum Sensing Peptides (QSP) are small molecules crucial for microbial communication, enabling bacterial populations to coordinate behaviors such as biofilm formation and virulence. The identification of QSP is vital for ...
GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection

Hossain, Shahed; Hasan, Md. Zahid; Jim, Risul Islam; Bulbul, Abdullah Al-Mamun; Khan, Risala Tasin; Kaise, M. Shamim; Ali Moni, Mohammad (2024-01-24)

Diabetic retinopathy is a significant cause of global blindness, requiring practical early detection approaches that could save vision loss in millions of people. However, manual DR analysis is time-consuming and requires ...
Flower Identification by Deep Learning Approach and Computer Vision

Mohaimenur Rahman, Md.; Mojumdar, Mayen Uddin; Jamil, Md Mashud; Chakraborty, Narayan Ranjan; Hasan, Rifat; Gupta, Vedika (2024-04-18)

This study employed deep learning methods like VGG19, Xception, CNN, DenseNet201, and InceptionV3 to identify flowers. After applying these models, a confusion matrix was applied to evaluate the performances of the techniques. ...
Eye Cataract Disease Classification: A Comparative Model Performance Analysis Under Data Constraints

Rahman, Mahmudur; Sakib, K. M. Sadman; Tahmiduzzaman, KBM; Anikur Rahman, Md; Munia, Jerin Akther; Akash, Abdul Hady (2025-06-10)

Blindness frequently arises from cataracts, which often require to be detected early for optimal treatment. Timely diagnosis is crucial since severe cases might require surgery. In such instances, computer-aided diagnosis ...
Exploring Gene Regulatory Networks and Identification of Therapeutic Targets and Potential Drugs with Diseases among PSP, nfvPPA and AD

Bose, Urmi; Rooman, Mehedi Hasan; Md. Noor Hossain, Gazi; Rakibul Hasan, Md.; Kumar Paul, Bikash (Daffodil International University, 2024-11-24)

Bioinformatics conceptualizes biological processes to obtain information from biological data in terms of genomics. Background research demonstrates that Progressive supranu-clear palsy (PSP), nonfluent variant primary ...
Explainable AI for Epileptic Seizure Prediction: A SHAPE and LIME Approach

Talukder, Md. Simul Hasan; Mondal, Sohag Kumar; Aditi, Oyshi Tabassum; Aljaidi, Mohammad; Sulaiman, Rejwan Bin; Ahmad al-Qerem (2024-12-15)

Epilepsy is a neurological chaos typified by frequent, spontaneous seizures. Early recognition of epilepsy by utilising AI techniques to scan EEG signals can enhance the prevention and management of it. This study aims to ...
Cross-Cultural Insights in Health: Integrating Machine Learning and Deep Learning for Early Predictive Diabetes Detection

Roy, Tonmoy; Kawsar, H.M. Nahid; Firozy, Iffat; Alam, Md Zehan (Scopus, 2024-12-31)

Diabetes, a potentially life-threatening condition if undetected, necessitates an early and accurate diagnosis. This study evaluates traditional machine learning (ML) models and deep neural networks (DNNs) for diabetes ...
Forecasting Rainfall in Bangladesh: A Sophisticated Exploration Through Machine Learning Approaches

Ahammad, Md. Saymon; Sinthia, Sadia Akter; Ahmed, Md. Mustak; Ikram, Md. Nurul Afsar; Hossain, Mahjabeen; Rafiul Islam (2024-11-04)

Rainfall is the descent of condensed water vapor from the atmosphere to the Earth’s surface. Hydrology, agriculture and disaster management are among the many businesses that depend on rainfall prediction because it ...
Broadband high gain performance MIMO antenna array for 5 G mm-wave applications-based gain prediction using machine learning approach

Haque, Md. Ashraful; Ahammed, Md Sharif; Ananta, Redwan A.; Aljaloud, Khaled; Jizat, Noorlindawaty Md; Abdulkawi, Wazie M.; Nahin, Kamal Hossain; -Bawri, Samir Salem Al (Scopus, 2024-10-24)

This paper presents the findings about implementing a machine learning (ML) technique to optimize the performance of 5 G mm wave applications utilizing multiple-input multiple-output (MIMO) antennas operating at the 28 GHz ...
Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language

Mondal;, Pronoy Kumar; Khan;, Sadman Sadik; Rana, Md. Masud; Ramit, Shahriar Sultan; Sattar;, Abdus; Rahman, Md. Sadekur (Scopus, 2024-06-24)

The rapid development of digital stages has greatly compounded the dispersal of untrue data, dissolving certainty and judgment in society, especially among the Bengalispeaking community. Our ponder addresses this critical ...

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