DIU Faculty Publication: Recent submissions

  • 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 ...
  • Ligand-Based Drug Design of Pinocembrin Derivatives Against Monkey-Pox Disease 
    Akash, Shopnil; Bibi, Shabana; Yousafi, Qudsia; Ihsan, Awais; Mustafa, Riaz; Farooq, Umar; Kabra, Atul; Alanazi, Mohammad M.; Alanazi, Ashwag S.; Kamaly, Omkulthom Al (Elsevier, 2023-09-06)
    Severe pathogen infections, such as Monkeypox disease caused by the Monkeypox virus, easily spread in different animals and then into humans. There is an urge for novel therapeutic options, such as medicine/vaccine development ...
  • Li-Fi Technology-Based Long-Range FSO Data Transmit System Evaluation 
    Faruq, Omar; Rahmana, Kazi Rubaiyat Shahriar; Jahan, Nusrat; Rokon, Sakib; Rabeya, Mosa (ARDA Publications, 2023-06-19)
    Visible light is used by a technology known as Light Fidelity to establish wireless internet connections very quickly. This article offers line-of-sight communication between the transmitter and receiver using LED technology. ...
  • Li-Fi Technology Based Long Range Free-Space Communication Data Transmit System Evaluation 
    Faruq, Omar; Rahman, Kazi Rubaiyat Shahriar; Jahan, Nusrat; Rokoni, Sakib; Rabeya, Mosa (Applied Sciences and Engineering, 2023-04-19)
    The most flexible and reliable technological system is Wi-Fi, which is made possible by a wireless connection that transmits data using radio frequencies. Wi-Fi networks, however, encounter numerous issues related to power ...
  • Level of Fear Towards COVID-19 and Its Determinants Among Healthcare Providers in Malaysia: A Cross-Sectional Study 
    Ching, Siew Mooi; Cheong, Ai Theng; Yee, Anne; Thurasamy, Ramayah; Lim, Poh Ying; Ismail, Irmi Zarina; Mohammad, Nik Mazlina; Ho, Bee Kiau; Ng, Jun Ying; Tan, Siow Foon; Rashid, Zienna Zufida Zainol; Jogulu, Sathya Rao; Lee, Kai Wei; Taher, Sri Wahyu (Family Medicine Specialist Association, 2023-01-15)
    "Introduction: Malaysia is one of the hardest-hit countries by COVID-19 in Asia. The rapidly rising number of cases had sparked fear among healthcare providers. This study aimed to assess the determinants of fear towards ...
  • Lectin Purification through Affinity Chromatography Exploiting Macroporous Monolithic Adsorbents 
    Silva, Josiane F. Da; Lima, Clara M. G.; Silva, Débora L. Da; Nascimento, Ivonea S. Do; Rodrigues, Sarah De O.; Gonçalves, Letícia A.; Santana, Renata F.; Khalid, Waseem; Verruck, Silvani; Emran, Talha Bin; Menezes, Irwin R. A. De; Coutinho, Henrique D. M.; Khandaker, Mayeen U.; Faruque, Mohammad R. I.; Fontan, Rafael Da C. I. (MDPI Publications, 2023-01-06)
    Growing medical, engineering, biochemical, and biological interest has led to a steady pace of research and development into polymeric monolithic structures with densely interconnected pores for purifying bio compounds. ...

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