• A Comprehensive Cotton Leaf Disease Dataset for Enhanced Detection and Classification 

  Bishshash, Prayma; Nirob, Asraful Sharker; Sarower, Afjal Hossan; Bhuiyan, Touhid; Noor, Sheak Rashed Haider (Elsevier, 2024-09-10)

  The creation and use of a comprehensive cotton leaf disease dataset offer significant benefits in agricultural research, precision farming, and disease management. This dataset enables the development of accurate machine ...
• Developing Customer Service Quality: Influences of Job Stress and Management Process Alignment in Banking Industry 

  Kim, Long; Maijan, Pattarawadee; Yeo, Sook Fern (Elsevier, 2024-09-18)

  Job stress and management process alignment can influence work attitudes and productivity; however, there is still no empirical evidence addressing how these factors influence customer service quality in banking industry. ...
• DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model 

  Rahman, Md. Ashikur; Ali, Md. Mamun; Ahmed, Kawsar; Mahmud, Imran; Bui, Francis M.; Chen, Li; Kumar, Santosh; Moni, Mohammad Ali (Elsevier, 2024-09-13)

  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 ...
• BDPapayaleaf: A Dataset of Papaya Leaf for Disease Detection, Classification, and Analysis 

  Mustofa, Sumaya; Ahad, Md Taimur; Emon, Yousuf Rayhan; Sarker, Arpita (Elsevier, 2024-09-10)

  Papaya is a popular vegetable and fruit in both developing and developed countries. Nonetheless, Bangladeshʼs agricultural landscape is significantly influenced by papaya cultivation. However, disease is a common impediment ...
• Retraction Note: Achieving Environmental Sustainability Through Renewable Energy Transition in the next Eleven Countries: The Importance of Establishing sound Democratic Governance 

  Murshed, Muntasir; Ozturk, Ilhan; Sinha, Avik; Alam, Mohammad Mahtab (Springer Nature, 2024-09-25)

  The Publisher has retracted this article in agreement with the Editor-in-Chief. An investigation by the Publisher determined that the peer-review process of this article, together with the peer-review process of other ...
• Metal-polymer-clay Nanocomposites Based Electrochemical Sensor for Detecting Hydrazine in Water Sources 

  Meenakshi, S.; Kaladevi, G.; Pandian, K.; Gopinath, Subash C.B. (Elsevier, 2024-12-05)

  AgNPs embedded polymer-clay (AgNPs@PEI-HNT) nanocomposites were successfully employed to sensitively detect hydrazine in water samples using differential pulse voltammetry (DPV) and amperometry methods. In-situ polymerization ...
• Geo-political Risks, Uncertainty, Financial Development, Renewable Energy, and Carbon Intensity: Empirical Evidence from Countries at High Geo-political Risks 

  Shu, Ying; Hossain, Mohammad Razib; Tillaguango, Brayan; Alvarado, Rafael; Işık, Cem; Murshed, Muntasir; Chen, Zhiguang (Elsevier, 2024-09-01)

  Geopolitical risks and uncertainty negatively affect the economy and environmental quality. High geopolitical risks and high uncertainty increase carbon emission intensity by increasing dependence on fossil fuels. However, ...
• Bioavailability and Toxicity of Heavy Metals and Microplastics in Shellfish (Meretrix Lyrata) a Preliminary Study in the Bay of Bengal 

  Hossain, Md. Yeamin; Uddin, Minhaz; Kormoker, Tapos; Rahman, Md. Ashekur; Haque, Md. Kamrul; Rahman, Md. Naimur; Tasmin, Rumana; Samad, Md. Abdus; Siddique, Md. Abu Bakar; Rahman, M. Safiur (Elsevier, 2024-08-15)

  Microplastics (MPs) and heavy metals (HMs) pollution pose significant environmental threats by accumulating in marine species, leading to potential health risks for marine life and humans consuming contaminated seafood. ...
• Opportunities and Regulatory Challenges of Functional Foods and Nutraceuticals During COVID-19 Pandemic 

  Lestari, Lily Arsanti (EDP Science, 2024-12-15)

  Functional foods and nutraceuticals demand during the Covid-19 pandemic are increasing tremendously. This is showed that there is a shifting food consumption pattern into healthier food rather than only to satisfy hunger. ...
• Optical Spectral Modulation of CdSe/ZnS Quantum Dot-Based UAV Identification 

  Xiao, Hua; Fouzder, Tama; Ruan, Jiacheng; Sun, Caiming; Wang, Wensong (IEEE, 2024-04-29)

  High security and high reliability identification methods are desired in unmanned aerial vehicle (UAV) swarms. An identification method for UAVs based on optical spectrum modulation is proposed by using narrow-linewidth ...
• Optimising E-learning: Embracing Webex in Malaysian Universities for Smarter Campus Learning 

  Shen, Tan Henna; Ling, Tan Cheng; Fern, Yeo Sook (The Department of Educational Management, Planning & Policy, Faculty of Education, University of Malaya., 2024-07-15)

  The recent pandemic has forced Malaysian universities to implement technological e-learning platforms to replace the physical classroom, encouraging a growing spur of online learning users. Webex by Cisco’s market share ...
• Optimization of a Proposed Biomass Generator: Harnessing Citizen Waste with Electric Vehicle Charging Infrastructure 

  Chowdhury, Akib; Chowdhury, Nusrat; Yaïci, Wahiba; Longo, Michela (Elsevier, 2024-09-16)

  Global municipal solid waste production is rising, causing significant environmental, health, and economic issues. Developed countries have advanced recycling technologies, but cities like Dhaka, Bangladesh—among the most ...
• Optimization of Ultrasound-assisted Extraction Using Response Surface Methodology for Total Anthocyanin Content, Total Phenolic Content, and Antioxidant Activities of Roselle (Hibiscus Sabdariffa L.) Calyces and Comparison with Conventional Soxhlet Extraction 

  Ahmed, Tanvir; Rana, Md Rahmatuzzaman; Hossain, Mohammad Afzal; Ullah, Shakhawat; Suzauddula, Md. (Springer Nature, 2023-02-04)

  Response surface methodology (RSM) and a Box-Behnken design (BBD) were used to determine optimum conditions for ultrasound-assisted extraction (UAE) of Hibiscus sabdariffa L. calyces. The current study applied BBD to explore ...
• Optimizing Cervical Cancer Prediction, Harnessing the Power of Machine Learning for Early Diagnosis 

  Hasan, Mahadi; Islam, Jahirul; Al Mamun, Miraz; Mim, Afrin Akter; Sultana, Sharmin; Sabuj, Md Sanowar Hossain (IEEE, 2024-07-10)

  Cervical cancer is one of the most widespread ovarian cancers in the world. It is linked up with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and smoking. Death rate can be reduced if ...
• Optimizing Energy Efficiency in Smart Grids Through Wireless Communication and Deep Learning 

  Hosen, Md Sabbir; Silmee, Sidratul Montaha; Shamim, Md. Mehadi Hasan; Juwono, Filbert; Adachi, Fumiyuki (Elsevier, 2024-11-24)

  Energy efficiency is a critical requirement for nations across the globe. In this connection, Smart Grids (SGs) have become a focal point due to the integration of numerous sensors and modern hardware, including smart ...
• Optimizing Vehicle Insurance Processing through Advanced Deep Learning Models 

  Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Rahman, Md. Sadekur (IEEE, 2024-11-04)

  This paper presents a novel method for predicting insurance claims by utilizing artificial intelligence, specifically a deep learning model within the Convolutional Neural Network (CNN) framework. The purpose is to automate ...
• Overview of Skin Cancer Types and Prevalence Rates Across Continents 

  Roky, Amdad Hossain; Islam, Mohammed Murshedul; Ahasan, Abu Mohammed Fuad; Mostaq, Md Saqline; Mahmud, Md Zihad; Amin, Mohammad Nurul; Mahmud, Md Ashiq (Elsevier, 2024-08-04)

  Skin cancer is one of the most prevalent cancers in the world, and its incidence and mortality rates are increasing continuously, mostly in regions with white-skinned inhabitants. The types of skin cancer vary in their ...
• Overview of the IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024) 

  Astanakulov, Komil; Sharipov, Galibjan; Vitliemov, Pavel; Navid, Hossein; Rizvi, Aqeel Hasan; Khan, Nafis Mahmud; Shomirzaev, Makhmatmurod; Kаrshiеv, Fakhriddin (EDP Sciences, 2024-01-15)

  The overview describes the main directions and results of the IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024) held in Tashkent on 28-30 March ...
• Oxygen Declination in the Coastal Ocean over the Twenty-first Century: Driving Forces, Trends, and Impacts 

  Bhuiyan, Md Mesbah Uddin; Rahman, Mahfuzur; Naher, Samsun; Shahed, Zahid Hasan; Ali, Mir Mohammad; Md, Abu Reza; Islam, Towfiqul (Elsevier, 2024-01-09)

  Oxygen declination in coastal oceans has accelerated drastically in recent decades, both in terms of severity and spatial extent, and such disappearance of oxygen leads to dead zones where life can't survive. This phenomenon ...
• Packet Loss Concealment Estimating Residual Errors of Forward-Backward Linear Prediction for Bone-Conducted Speech 

  Ohidujjaman; Yasui, Nozomiko; Sugiura, Yosuke; Shimamura, Tetsuya; Makinae, Hisanori (IJACSA, 2024-01-15)

  "This study proposes a suitable model for packet loss concealment (PLC) by estimating the residual error of the linear prediction (LP) method for bone-conducted (BC) speech. Instead of conventional LP-based PLC ...

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