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Advancements in Jute Leaf Disease Detection: A Comprehensive Study Utilizing Machine Learning and Deep Learning Techniques

Haque, Rezaul; Miah, Md Miraz; Sultana, Shayma; Fardin, Hasib; Noman, Abdullah Al; Sakib, Abdullah Al-; Hasan, Md Kamrul; Rafy, Al; Rahman, Md Shihabur; Rahman, Shafiur (Scopus, 2024)

Detecting diseases in jute leaves is difficult due to the variability in how the diseases appear. Manually identifying these diseases is challenging because it requires expert knowledge and visual inspections take a lot ...
Advances in Medical Imaging: Deep Learning Strategies for Pneumonia Identification in Chest X-rays

Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Faieaz, Washik Wali; Jannat, Sayma; Prova, Nuzhat Noor Islam (Scopus, 2024)

Pneumonia poses a widespread international fitness mission, in particular affecting prone populations which include youngsters and the elderly. Rapid and accurate analysis is crucial for powerful remedy and the prevention ...
Advancing Agricultural Diagnostics with a Hybrid Deep Learning Model for Sugarcane Leaf Disease Classification

Nirob, Md. Asraful Sharker; Deeya, Ikteshad Binte Kalam; Rukhsara, Lamia; Rabeya, Tapasy; Jahan, Israt (Scopus, 2024)

Sugarcane, an essential crop for sugar production and biofuel, is susceptible to diseases that greatly affect its yield and quality. To address this, we propose a hybrid deep learning model combining ResNet152 and ...
Age and Gender Classification using Multiple Convolutional Neural Network

Hadi, Israa; Hassan, Khaled Rahman (Scopus, 2024)

Since the advent of social media, there has been an increased interest in automatic age and gender classification through facial images. So, the process of age and gender classification is a crucial stage for many applications ...
AI-Powered Approaches to Unmasking Fake News: A Simple Comparison of ML and DL Techniques

Bormon, Sajib; Prova, Jebin Ahmed; Ahmad, MD Hasan; Rimon, Rimon; Sohag, Sohanur Rahman; Shishir, Hasanur Rahman (Scopus, 2024)

False news spreads quickly due to the extensive distribution of incorrect or misleading information across digital channels, which is a global problem. This bias undermines the credibility of information, promotes the ...
Air Pollution or Gases Behind Toxicity for People Awareness

Ferdous, Munira; Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan; Bhuiyan, Touhid (Scopus, 2024)

A report by world quality showed Bangladesh was ranked the second most air polluted country in 2019. The PM2.5 intensity on typical was 83.3 µg per cubic meter. Forests and trees are being cut down for creating buildings. ...
The Allocation of Channels Within Cognitive Radio Based Smart Grid Using RHGO with Deep Q Probabilistic Procedure

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

Compared to conventional electricity grids, Smart Grids have advanced features more as a result of smart communications. The cognitive radio sensor networks (CRSNs) are being used to make up the increased demands for quality ...
ALPR: ResNet50 powered Bangla License Plate Detectionand OCR by Root Mean Square Propagation Optimizer and Linear SVM Classifier

Chowdhury, Abdulla Nasir; Summit, Samya Pal; Laskar, Md. Fuad Ahmed; Chowdhury, Gulam Mahfuz; Chowdhury, Ishmam Ahmed; Hasan, Mehedi (Scopus, 2024-06-10)

This paper implements the MATLAB Image Processing Toolbox in detecting the license plate region using several user-defined functions in order to pre-process and process the image up until the point of extraction of characters. ...
Artificial Intelligence of Things (AIoT) Technologies and Applications

Sung, Tien-Wen; Tsai, Pei-Wei; Gaber, Tarek; Lee, Chao-Yang (Scopus, 2021-08-15)

AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of Things). IoT consists of ...
Artificial Intelligence of Things (AIoT) Technologies and Applications

Sung, Tien-Wen; Tsai, Pei-Wei; Gaber, Tarek; Lee, Chao-Yang (Scopus, 2021-08-15)

AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of Things). IoT consists of ...
AttNet: An Attention-Based BiGRU Network for Remaining Useful Life Prediction

Shakil, Ahsanul Haque; Orin, Mst. Afsana; Rahman, Mostafijur; Kabir, Md Alamgir (Scopus, 2024)

Remaining Useful Life (RUL) prediction is crucial for prognostics and health management (PHM) in industrial applications, as it helps to reduce unexpected maintenance and downtime costs. This study introduces AttNet, an ...
The Biggest Global Issues Facing Humankind: A Meta-Analysis of Poverty Alleviation and Poverty Eradication

Islam, Md. Aminul; Thottoli, Mohammed Muneerali; Abdullah, ABM; Ahmad, Tunku Salha Tunku; Rahmane, Shafiqur (Scopus, 2023-09-04)

This study conducted a comprehensive literature review on global poverty alleviation and eradication. A structured literature review (SLR) was employed, collecting 955 articles from the Scopus database spanning from 1990 ...
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 ...
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 ...
The Comparison of Machine Learning Algorithms to Find the Career Path by Bloom’s Taxonomy Evaluation

Ahmed, Fizar; Bijoy, Md. Hasan Imam; Noori, Sheak Rashed Haider; Rebonya, Tasnova (Scopus, 2024-03-30)

This research paper aims to compare various machine learning algorithms to identify the best career paths for individuals based on Bloom’s taxonomy evaluation. The study uses data from a sample of individuals to train and ...
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 ...
The crucial role of the cerebellum in autism spectrum disorder: Neuroimaging, neurobiological, and anatomical insights

Biswas, Mohammad Shahangir; Roy, Suronjit Kumar; Hasan, Rubait; Uddin, Md Moyen (Scopus, 2024-07-03)

Background and Aims Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by a wide range of symptoms and challenges. While ASD is primarily associated with atypical social and communicative ...
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 ...
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 ...
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 ...

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