Articles: Recent submissions

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PAKE - PoS Tagger Augmented Keyword Extraction

Kohinoor, Md Saidur Rahman; Miah, Ayesha Loylus; Ali, Shah Fayez; Hossain, Md Sabir; Bijoy, Md. Hasan Imam; Sakib, Shadman (IEEE, 2024-12-19)

The state-of-the-art techniques for automatic keyword extraction majorly deal with the collection of long documents. However, for several reasons, these do not provide satisfactory results for shorter lengths of documents. ...
Paradoxes on Sustainable Performance in Dhaka's Enterprising Community

Hossain, Mohammad Imtiaz; Teh, Boon Heng; Tabash, Mosab I.; Alam, Mohammad Nurul; Ong, Tze San (Emerald Publishing, 2024-02-27)

Purpose Manufacturing small and medium-sized enterprises (SMEs) are heading towards smart manufacturing despite growing challenges caused by globalisation and rapid technological advancement. These SMEs, particularly ...
Past, Present and Future Impact of Social Media on Health Workers’ Mental Health: A Text Mining Approach

Novera, Chowdhury Noushin; Connolly, Regina; Rahman, Md. Azizur; Azad, Md. Abul Kalam (Emerald Publishing Limited, 2024-01-02)

"Purpose The COVID-19 epidemic has brought attention to the variables that influence the mental health of health workers who are entrusted with nursing individuals. Despite the fact that many articles have examined the ...
Peganum Harmala L. Extract-based Gold (AU) and Silver (Ag) Nanoparticles (NPS): Green Synthesis, Characterization, and Assessment of Antibacterial and Antifungal Properties

Ullah, Izaz; Rauf, Abdur; Khalil, Anees Ahmed; Luqman, Muhammad; Islam, Md. Rezaul; Hemeg, Hassan A.; Ahmad, Zubair; Al-Awthan, Yahya S.; Bahattab, Omar; Quradha, Mohammed Mansour (Wiley Periodicals LLC, 2024-03-04)

During the last decade, nanotechnology has attained a significant place among the scientific community for the biosynthesis of plant-based nanoparticles owing to its effective, safe, and eco-friendly nature. Hence, keeping ...
Peptide Drugs and Their Use in Surgical Treatments

P., Jeyanthi; G., Gulothungan; Emran, Talha B. (Walter Kluwer, 2024-10-15)

After undergoing surgery, some people appear to recuperate more quickly than others. A person’s health, preexisting diseases, and heredity are all potential contributors. Even if person have a genetic predisposition to ...
Performance Analysis of LSTM and Bi-LSTM Model with Different Optimizers in Bangla Sentiment Analysis

Khan, Sadman Sadik; Sattar, Abdus; Ahmed, Nayeem; Mondal, Pronoy Kumar; Shaqib, SM. (IEEE, 2024-01-15)

Sentiment analysis, the computational study of opinions, emotions, and attitudes expressed in text, has become increasingly vital in understanding public perception across various domains. In the context of Bangla, a ...
Performance Appraisal Practices and Organizational Citizenship Behavior: Evidence from Jordan

Alabbas, Marwan Mowaffaq Ghazi; Keoy, Kay Hooi; Yeo, Sook Fern (2024-06-18)

Performance appraisal practices and organizational citizenship behavior are critical to leading employee recognition. This study examines the impact of performance appraisals on organizational citizenship behavior among ...
Performance Assessment of Advanced CNN and Transformer Architectures in Skin Cancer Detection

Sajol, Md Saiful Islam; Alvi, Syada Tasmia; Era, Chowdhury Abida Anjum (IEEE, 2024-09-26)

Skin cancer has always been one of the most common types of cancer in medical history. Every year, it kills millions of people around the world. To find skin problems early, it is necessary to have a reliable automated ...
Performance Enhancement of Machine Learning Algorithm for Breast Cancer Diagnosis Using Hyperparameter Optimization

Hridoy, Rashidul Hasan; Arni, Arindra Dey; Ghosh, Shomitro Kumar; Chakraborty, Narayan Ranjan; Mahmud, Imran (The Institute of Advanced Engineering and Science (IAES), 2024-04-02)

Breast cancer is the most fatal women’s cancer, and accurate diagnosis of this disease in the initial phase is crucial to abate death rates worldwide. The demand for computer-aided disease diagnosis technologies in healthcare ...
Performance Evaluation of YOLO Models for Detecting Bangladeshi License Plates

Sultan, Shahriar; Alo, Alaya Parvin; Shaqib, SM; Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Rahman, Mr. Md. Sadekur (IEEE, 2024-01-15)

This research paper presents a comprehensive investigation into the effectiveness of YOLO (You Only Look Once) models, namely YOLOv5, YOLOv7, and YOLOv8, in the domain of Bangladeshi license plate detection. With the ...
Performance Improvement of THZ Mimo Antenna with Graphene and Prediction Bandwidth Through Machine Learning Analysis for 6g Application

Haque, Md Ashraful; Ananta, Redwan A.; Nirob, Jamal Hossain; Ahammed, Md. Sharif; Singh, Narinderjit Singh Sawaran; Paul, Liton Chandra; Algarni, Abeer D.; El Affendi, Mohammed; Ateya, Abdelhamied A. (Elsevier, 2024-10-23)

This article provides the findings of a study that integrated simulation, an RLC equivalent circuit, and machine learning (ML) techniques to improve wireless indoor communications clusters with future 6 G applications. The ...
Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects

Farouk, Abdelrahman M.; Radzi, Afiqah R.; Romali, Noor Suraya; Farouk, Mohamed; Elgamal, Mohamed; Hassan, Raouf; Omer, Mazen M.; Rahman, Rahimi A. (MDPI, 2024-04-10)

This research aims to examine the performance indicators that are crucial for assessing the implementation of environmental management plans (EMPs) in water projects. To achieve this aim, a questionnaire survey, integrating ...
Peripheral Blood Smear Image-Based Blood Cancer Detection Using Transfer Learning

Shaha, Sonjoy Prosad; Datta, Sajeeb; Mahmud, Md. Nadim; Ahmad, Md. Hassan; Johora, Fatema Tuj; Rahman, Md. Atiqur (Springer Nature, 2024-03-30)

The lymphatic, bone marrow, and blood systems are all affected by hematological malignancy, also known as blood cancer. Early detection is essential for improved blood medical care and better patient outcomes. In the recent ...
Perovskite Materials in X-ray Detection and Imaging: Recent Progress, Challenges, and Future Prospects

Miah, Md. Helal; Khandaker, Mayeen Uddin; Islam, Mohammad Aminul; Nur-E-Alam, Mohammad; Osman, Hamid; Ullah, Md. Habib (The Royal Society of Chemistry, 2024-02-22)

Perovskite materials have attracted significant attention as innovative and efficient X-ray detectors owing to their unique properties compared to traditional X-ray detectors. Herein, chronologically, we present an in-depth ...
Persuading of Virulence Factors Production in Pseudomonas Aeruginosa by Artificial Food Coloring Azo Dyes

Mitra, Trinankur; Subramanian, Thulasiram; Kanakaraja, Abinaya; Gopalakrishnan, Allwyn Vyas; Gopinath, Subash C.B.; Raman, Pachaiappan (Elsevier, 2024-05-15)

Azo dyes are added as coloring agents in food, beverage, cosmetics, and pharmaceutical products owing to their economic viability, aesthetic appeal, and ability to maintain color integrity. Opportunistic bacteria of ...
Perturbation in Meander Behaviour of a Subtropical River in India Under Variable Natural and Anthropogenic Controls

Unknown author (IEEE, 2024-12-15)

Meander morphology is perturbed worldwide by human interventions to a certain extent in the Anthropocene. To this end, the present study aims to investigate the meander behaviour, including its deformations, of the Kopai ...
Phonological Variation and Linguistic Diversity in Bangladeshi Dialects: An Exploration of Sound Patterns and Sociolinguistic Significance

Rahman, Mohammad Mustafizur; Barman, Binoy; Sharmin, Liza; Uddin, Md. Rafiz; Yusuf, Sakiba Binte; Rasool, Ushba (Academic Publishing, 2024-04-25)

This paper explores how people in different parts of Bangladesh talk differently from each other. The study pays special attention to the unique sounds in their dialects compared to the standard Bangla language. The main ...
Physics Guided Neural Networks with Knowledge Graph

Gupta, KD; Siddique, S; George, R; Rifat, RH; Haque, MA; Kamal, M (MDPI, 2024-10-10)

Over the past few decades, machine learning (ML) has demonstrated significant advancements in all areas of human existence. Machine learning and deep learning models rely heavily on data. Typically, basic machine learning ...
Phytochemical Screening, Antioxidant, Cytotoxic, Analgesic, Antidiarrheal Activity and GC-MS Analysis of the Leaves of Stachyphrynium Placentarium

Das, Ananta Kumar; Islam, Md. Nazmul; Islam, Md. Mahmudul; Paul, Prosenjit; Das, Utpaul Chandra; Banik, Ratry; Shuchi, Afifa Tasneem; Mahmud, Md. Hasan (TIS, 2024-09-30)

The goal of the present study is to analyze the phytochemicals, antioxidants, cytotoxic, analgesic and anti-diarrheal properties of the leaves of Stachyphrynium placentarium methanol extract as well as its dichloromethane ...
Phytochemical Screening, Antioxidant, Cytotoxic, Analgesic, Antidiarrheal Activity and GC-MS Analysis of the Leaves of Stachyphrynium Placentarium

Das, Ananta Kumar; Islam, Md. Nazmul; Islam, Md. Mahmudul; Paul, Prosenjit; Das, Utpaul Chandra; Banik, Ratry; Shuchi, Afifa Tasneem; Mahmud, Md. Hasan (TIS, 2024-09-30)

The goal of the present study is to analyze the phytochemicals, antioxidants, cytotoxic, analgesic and anti-diarrheal properties of the leaves of Stachyphrynium placentarium methanol extract as well as its dichloromethane ...

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