DIU Institutional Repository: Recent submissions

  • Machine Learning-Based Technique for Gain and Resonance Prediction of Mid Band 5G Yagi Antenna 
    Haque, Md. Ashraful; Rahman, Md Afzalur; Al‑Bawri, Samir Salem; Yusoff, Zubaida; Sharker, Adiba Haque; Abdulkawi, Wazie M.; Saha, Dipon; Paul, Liton Chandra; Zakariya, M. A. (Springer, 2023-08-03)
    In this study, we present our findings from investigating the use of a machine learning (ML) technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 band for 5G applications. This research study ...
  • Machine Learning Technique Based Fake News Detection 
    Sutradhar, Biplob Kumar; Zonaid, Md.; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (IEEE, 2023-01-15)
    False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of ...
  • Machine Learning Modeling for Reconditioned Car Selling Price Prediction 
    Abdullah, Fatema; Rahman, Md. Ataur; Shidujaman, Mohammad; Hasan, Mahady; Habib, Md. Tarek (SPIE Publications, 2023-09-19)
    Almost 80% of the vehicles required for Bangladesh's road transportation industry are supplied by reconditioned cars. Using machine learning (ML) to predict car prices refers to using ML algorithms and techniques to make ...
  • Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques 
    Biswas, Niloy; Ali, Md Mamun; Rahaman, Md Abdur; Islam, Minhajul; Mia, Md. Rajib; Azam, Sami; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Moni, Mohammad Ali (Hindawi Publications, 2023-05-02)
    Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32% of total death throughout the world. It is a global concern nowadays. However, it is a matter of joy that the mortality rate due ...
  • Machine Learning-Based Depression Detection 
    Biswas, Saikat; Islam, Md.Mozahidul; Sarker, Utpaul; Hridoy, Rashidul Hasan; Habib, Md. Tarek (Springer Nature, 2023-04-14)
    Depression is an extremely serious illness of humans which causes constant mood swings and feelings of sadness. Nowadays, it is considered to be a deadly disorder in the world. At present, everyone from young to old is ...
  • Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics 
    Rahman, Md. Ashikur; Abdulrazak, Lway Faisal; Ali, Md. Mamun; Mahmud, Imran; Ahmed, Kawsar; Bui, Francis M. (MDPI Publications, 2023-10-29)
    Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage ...
  • Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files 
    Rahman, Md Habibur; Islam, Taminul; Rana, Md Masum; Tasnim, Rehnuma; Mona, Tanzina Rahman; Sakib, Md. Mamun (IEEE, 2023-01-15)
    "Firewalls are critical components in securing communication networks by screening all incoming (and occasionally exiting) data packets. Filtering is carried out by comparing incoming data packets to a set of rules ...
  • MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers 
    Loba, Jannatul; Mia, Md. Rajib; Mahmud, Imran; Mahi, Md. Julkar Nayeen; Whaiduzzaman, Md.; Ahmed, Kawsar (Springer Nature, 2023-08-31)
    Alzheimer’s disease (AD) is a neurological illness that worsens with time. The aged population has expanded in recent years, as has the prevalence of geriatric illnesses. There is no cure, but early detection and proper ...
  • MRI-Based Brain Tumor Classification Using Various Deep Learning Convolutional Networks and CNN 
    Saiful, Md.; Haider, Sakib; Rahman, S. M. Arafat; Reza, Nahid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer Nature, 2023-11-11)
    "Yearly, brain tumors cause many fatalities and a significant portion of these victims come from rural regions. However, beginning brain tumor diagnosis technology is not as effective as anticipated. We thus set out to ...
  • MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification 
    Alam, Firoj; Alam, Tanvirul; Hasan, Md. Arid; Hasnat, Abul; Imran, Muhammad; Ofli, Ferda (Springer Nature, 2022-09-03)
    Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based on social media contents (text and images). ...
  • MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data 
    Hasib, Khan Md.; Azam, Sami; Karim, Asif; Marouf, Ahmed Al; Shamrat, F M Javed Mehedi; Montaha, Sidratul; Yeo, Kheng Cher; Jonkman, Mirjam (IEEE, 2023-08-29)
    "Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of various information ...
  • Lupenone, a Wonder Chemical Obtained From Euphorbia segetalis To Boost Affinity for the Transcriptional Factor Escalating Drought-Tolerance in Solanum lycopersicum 
    Debnath, Sandip; Alqahtan, Taha; Alqahtan, Ali; Alharb, Hanan M.; Akash, Shopnil (PLOS ONE Publications, 2023-11-08)
    Drought is the single greatest abiotic factor influencing crop yield worldwide. Plants remain in one area for extended periods, making them vulnerable to natural and man-made influences. Understanding plant drought responses ...
  • The potentials of Si-doped magnesium oxide nanotubes for decontamination of pollutants 
    Itas, Yahaya Saadu; Danmadami, Amina Mohammad; Razali, Razif; Khandaker, Mayeen Uddin (Daffodil International University, 2023-11)
    This work investigated the potential of the silicon-doped magnesium oxide nanotubes (Si: MgONT) to serve as a photocatalyst for the treatment of pollutants. The analysis of the photocatalytic properties of the Si: MgONT ...
  • The potentials of boron-doped (nitrogen deficient) and nitrogen-doped (boron deficient) BNNT photocatalysts for decontamination of pollutants from water bodies 
    Itas, Yahaya Saadu; Isah, Kamaluddeen Abubakar; Nuhu, Awwal Hussain; Razali, Razif; Tata, Salisu; K A, Naseer; Idris, Abubakr M; Ullah, Md Habib; Khandaker, Mayeen Uddin (Daffodil International University, 2023)
    This work investigates the structural, elastic, electronic, and photoabsorption properties of boron- (N-deficient) and nitrogen- (B-deficient) doped single-walled boron nitride nanotube (SWBNNT) for photocatalytic applications ...
  • Lung Disease Classification Using Deep Learning Models from Chest X-ray Images 
    Sultana, Salma; Pramanik, Anik; Rahman, Md. Sadekur (IEEE, 2023-03-27)
    In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis cause a large number of deaths because they all affect the lungs. ...
  • Lowering and Analyzing the Power Consumption of Smartphones 
    Ahmed, Imtiaj; Sizan, Samiun Rahman; Tabassum, Fariha; Rahman, Md. Mostafijur; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer Nature, 2023-12-16)
    In our research paper, we analyze the measurement of smartphone power of two widely used 4G and WiFi and their usage patterns. Due to their significant tail power consumption, 4G remains in high-power phases after a transfer. ...
  • Local Vegetable Freshness Classification Based on Chronological Monitoring Using Transfer Learning Approach 
    Abeer, Mahedi Hasan; Lamia, Meherun Nessa; Nafsi, Jannatul Feardous; Chowdhury, Fabia; Anol, Mahi Sarwar; Ahamed, Md. Sazzadur (Springer Nature, 2023-07-22)
    With the advancement of scientific technologies, manual identification for freshness of vegetables is not practical at all as it is time consuming and inaccurate. To solve this issue Implementing a machine vision-based ...
  • Local Fruit Classification and Recognition using Transfer Learning Models 
    Dey, Udoy Chandra; Hasan, Fahim; Papel, Md. Habibur Rahman; Turza, Toufiq Hasan; Hasan, Md. Mehedi; Kabir, Md. Rayhan (IEEE, 2023-11-23)
    The practice of automatically classifying images is gaining popularity. Many of us have very little knowledge of the local fruits, yet even in that case, we can vouch to their quality. In our study, we'll talk about a deep ...
  • Living on the Margin in Geneva Camp: Mapping Out Crisis and Coping Strategies of Bihari Refugees in Bangladesh 
    Sohel, Md. Salman; Sifullah, Md. Khaled; Zaman, Noshin Tasnim; Hossain, Babul; Hossen, Md. Sohrab; Sarker, Md. Fouad Hossain (Springer Nature, 2023-12-06)
    Bihari refugees from Pakistan who were stranded in Bangladesh during the 1971 liberation war became Pakistani citizens. In 2008, after extensive discussions and debates, the court approved their integration into Bangladeshi ...
  • Find my lawyer: a platform that can give you a perfect lawyer 
    Rayhan, Md. Abu (Daffodil International University, 2024-01-01)
    Find My Lawyer is a web-based platform designed to automate the entire examination procedure. This makes it easy to communicate with a lawyer. Nowadays, all work we can do from home, like telemedicine, shopping, housework, ...

Search DSpace

Browse

My Account