DIU Institutional Repository: Recent submissions

  • Predicting Bangladesh Life Expectancy Using Multiple Depend Features and Regression Models 
    Jannat, Fatema Tuj; Biplob, Khalid Been Md. Badruzzaman; Bitto, Abu Kowshir (Springer Nature, 2023-05-16)
    The average longevity of a person is measured by life expectancy. The length of one's life is determined by several factors. In this study, we utilized GDP, rural population growth, urban population growth, services value, ...
  • PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors 
    Mia, Md. Rajib; Rahman, Md. Ashikur; Ali, Md. Mamun; Ahmed, Kawsar; Bui, Francis M.; Mahmud, S M Hasan (Springer Nature, 2023-06-11)
    Chronic Kidney Disease (CKD) is major concern of death in recent years that can be cured by early treatment and proper supervision. But early detection of CKD and exact risk factors should be known to ensure proper treatment. ...
  • Potential Candidates From Marine and Terrestrial Resources Targeting Mitochondrial Inhibition 
    Mitra, Saikat; Rauf, Abdur; Sutradhar, Hriday; Sadaf, Samia; Hossain, Md. Jamal; Soma, Mahfuza Afroz; Emran, Talha Bin; Ahmad, Bashir; Aljohani, Abdullah S.M.; Abdulmonem, Waleed Al; Thiruvengadam, Muthu (Elsevier, 2023-02-15)
    Mitochondria are the target sites for multiple disease manifestations, for which it is appealing to researchers' attention for advanced pharmacological interventions. Mitochondrial inhibitors from natural sources are of ...
  • Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques 
    Rahman, Md. Mahbubur; Das, Badhan Chandra; Biswas, Al Amin; Anwar, Md. Musfique (Tech Science Press, 2023-02-11)
    " In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid ...
  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-24)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Classification of bird species using deep learning" 
    Apu, Md Sharifuzzaman (Daffodil International University, 2024-01-24)
    Many bird species are rare to find these days, and even when they are, it might be difficult to classify them. For example, birds have different sizes, shapes, and colors depending on the situation, and they also have ...
  • Iot based fish farming and monitoring system 
    Summum, Reafat (Daffodil International University, 2024-01-01)
    Current human population is 7.8 million and the growth rate is around 1.05% per year hence food demand is also increasing accordingly. Globally 155 million tons of fish production is consumed by humans. Fish for human ...
  • Predicting BPL Match Winners: An Empirical Study Using Machine Learning Approach 
    Adhikari, Bornita; Ahamed, Md. Sazzadur (IEEE, 2023-11-23)
    With the evolution of computer science, every company is implementing the newest technologies to survive in market with better decision-making capabilities, better communication and customer satisfaction. The only means ...
  • Pre and Present COVID-19 Situation: A Framework of Educational Transformation in South Asia RegionPre and Present COVID-19 Situation 
    Khan, Sunjida; Zayed, Nurul Mohammad; Darwish, Saad; Nitsenko, Vitalii; Islam, K. M. Anwarul; Hassan, Md. Arif; Dubrova, Oksana (Wolters Kluwer Health, Inc, 2023-02-15)
    "This study is designed to support the development of strategies to recover from the disrupted impact of COVID-19 on HE institutes of the South Asian Region (SAR), as the nations in this region are severely cursed by poverty ...
  • Potential of Nanoemulsions for Accelerated Wound Healing: Innovative Strategies 
    Chhabra, Jatin; Chopra, Hitesh; Pahwa, Rakesh; Raina, Neha; Wadhwa, Karan; Saini, Swati; Negi, Poonam; Gupta, Madhu; Singh, Inderbir; Dureja, Harish; Emran, Talha Bin (Wolters Kluwer Health, Inc, 2023-05-09)
    Wounds represent various significant health concerns for patients and also contribute major costs to healthcare systems. Wound healing comprises of overlapped and various coordinated steps such as homeostasis, inflammation, ...
  • Potential Benefits and Therapeutic Applications of "Panchgavya" Therapy (Cowpathy) for Human and Animal Health 
    Arun, Varada; Anil, Adita; Shajini, Baby; Krishnan, Deepika; Dev, Bhadra S.; R, Akhil P.; Anil, Krishnapriya N; Ganesh, Sravan; S., Prithvi; K., Ravikumar; Chakraborty, Sandip; Chopra, Hitesh; Akash, Shopnil; Amin, Ruhul; Dey, Abhijit; Sharma, Anil K.; Alagawany, Mahmoud; Dhama, Kuldeep; Chandran, Deepak (Experimental Biology and Agricultural Sciences, 2023-06-30)
    Positive results have been seen when bioactive components from herbal plants are added to poultry diets. Efficacy in feeding, digestion of nutrients, antioxidant health, immunological indices, and other factors can all be ...
  • Smart e-commerce shop 
    Panday, Bijeyendra Prosad (Daffodil International University, 2023-12-22)
    Revolutionizing the landscape of online retail, this e-commerce venture sets itself apart by redefining the very essence of digital product selling. Offering a sophisticated platform, it seamlessly integrates cutting-edge ...
  • A machine learning based approach for predicting the impact of video games on youth 
    Das, Udoy (Daffodil International University, 2024-01-26)
    The abstract of the topic "impact of video games prediction on youth using machine learning" would succinctly summarize the key components of the research. This research explores the intersection of video games, youth ...
  • Body fat prediction using machine learning 
    Ahmed, Raju (Daffodil International University, 2023-08-24)
    This research paper presents the development and evaluation of machine learning algorithms for accurate and efficient body fat prediction. Three algorithms, namely linear regression, decision tree, and random forest, ...
  • Potential Benefits and Therapeutic Applications of "Panchgavya" Therapy (Cowpathy) for Human and Animal Health: Current Scientific Knowledge 
    Chandran, Deepak; Indu, Ankitha; K, Sivasabari; S, Meenakshy; M, Sreelakshmi; V R, Amrithendhu; Ahamed, Khanza; Ram, Gopika; Mohan, Devika; P, Anamika; Chakraborty, Sandip; Chopra, Hitesh; Akash, Shopnil; Amin, Ruhul; Ahmed, Sirwan Khalid; Dey, Abhijit; Sharma, Anil K; Dhama, Kuldeep (Experimental Biology and Agricultural Sciences, 2023-07-30)
    Cow's milk, urine, dung, ghee, and curd (together known as "Panchgavya") have incomparable medicinal value in Ayurveda and ancient Indian clinical methods. Panchgavya is also known as Cowpathy in Ayurveda. In India, the ...
  • Potato Leaf Disease Classification Using K-Means Cluster Segmentation and Effective Deep Learning Networks 
    Talukder, Md. Simul Hasan; Sulaiman, Rejwan Bin; Chowdhury, Mohammad Raziuddin; Nipun, Musarrat Saberin; Islam, Taminul (Elsevier, 2023-07-31)
    Potatoes are the third-largest food crop globally, but their production frequently encounters difficulties because of aggressive pest infestations. Early classification those potato pests plays an important role in the ...
  • Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach 
    Bitto, Abu Kowshir; Bijoy, Md.Hasan Imam; Das, Aka; Rahman, Md.Ashikur; Rabbani, Masud (Springer Nature, 2023-06-11)
    Research on pertinent topics is more important than ever for the long-term development of agriculture, given the advancements in contemporary farming and use of artificial intelligence (AI) for identifying crop illnesses. ...
  • Potato Leaf Disease Classification Using K-Means Cluster Segmentation and Effective Deep Learning Networks 
    Nishad, Md. Ashiqur Rahaman; Mitu, Meherabin Akter; Jahan, Nusrat (Springer Nature, 2023-05-19)
    Potatoes are the most often consumed vegetable in many countries throughout the year, and Bangladesh is one of them. Plant diseases and venomous insects pose a significant agricultural hazard and now substantially impact ...
  • Porous Hierarchical Ni/Mg/Al Layered Double Hydroxide for Adsorption of Methyl Orange From Aqueous Solution 
    Waheed, Tayyaba; Uddin, Salah; Ming, Lei; Ahmad, Pervaiz; Min, Pu; Haq, Sirajul; Khandaker, Mayeen Uddin; Boukhris, Imed; Faruque, Mohammad Rashed Iqbal; Rehman, Fazal Ur; Uddin, Israf (MDPI Publications, 2023-06-26)
    A basic urea technique was successfully used to synthesize Mg/Al-Layered double hydroxides (Mg/Al LDHs), which were then calcined at 400 °C to form Mg/Al-Layered double oxides (Mg/Al LDOs). To reconstruct LDHs, Mg/Al LDOs ...
  • Pomegranate-Specific Natural Compounds As Onco-Preventive and Onco-Therapeutic Compounds: Comparison With Conventional Drugs Acting on the Same Molecular Mechanisms 
    Rahman, Md. Mominur; Islam, Md. Rezaul; Akash, Shopnil; Hossain, Md Emon; Tumpa, Afroza Alam; Ishtiaque, Galib Muhammad Abrar; Ahmed, Limon; Rauf, Abdur; Khalil, Anees Ahmed; Abdulmonem, Waleed Al; Simal-Gandara, Jesus (Elsevier, 2023-07-08)
    Pomegranate, scientifically known as Punica granatum, has been a traditional medicinal remedy since ancient times. Research findings have shown that using pomegranate extracts can positively affect a variety of signaling ...

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