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Prodhan, Md. Samiul Karim (Daffodil International University, 2024-01-25)

Bari Vara is an online rental and reservation platform for apartments. Improving human labor, making it more precise, and cutting down on the amount of time needed to rent and reserve real estate are the main goals. It ...

Real-Time Medical Image Classification with ML Framework and Dedicated CNN–LSTM Architecture

Salehin, Imrus; Islam, Md. Shamiul; Amin, Nazrul; Baten, Md. Abu; Noman, S. M.; Saifuzzaman, Mohd; Yazmyradov, Serdar (Hindawi Publications, 2022)

In the domain of modern deep learning and classification techniques, the convolutional neural network (CNN) stands out as a highly successful and preferred method for image classification in artificial intelligence. ...

Zipifly: an incognito parcel delivery system

Faisal, M Rafiul (Daffodil International University, 2024-01-25)

In response to escalating privacy concerns within the parcel delivery landscape, Zipifly emerges as a groundbreaking solution—an incognito parcel delivery app that strives to redefine industry norms. The project places ...

Online hotel booking system for modern travelers

Hossain, Md. Oadud (2024-01-26)

The Hotel Booking Web Application is a cutting-edge and user-friendly platform made to change the hotel booking process and improve the user experience. Users may easily search through a wide selection of hotels using ...

Deep CNN Model: A case study of predicting security surveillance activities utilizing Gender and Age

Ridoy, Md. Sydul Islam Bhuiyan (Daffodil International University, 2024-01-25)

In this paper, we present F-AgeNet, a novel and highly efficient convolutional neural network (CNN) model tailored for the task of age and face detection. Leveraging a combined dataset comprising 22,708 images from a ...

Fake news detection on Bengali linguistic using deep learning approach

Shahariar, Shihab (Daffodil International University, 2024-01-25)

A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading ...

A study on bottle gourd leaf disease recognition and classification based on efficient deep learning algorithms

Labiba, Afsara (Daffodil International University, 2024-01-25)

One of the most popular crops in Bangladesh is the bottle gourd. However, the quality and productivity of the bottle gourd crop decrease due to a variety of diseases. Therefore, a deep learning-based approach to identify ...

Recent Advances in Pyridine Scaffold: Focus on Chemistry, Synthesis, and Antibacterial Activities

Islam, Md. Badrul; Islam, Md. Inshaful; Nath, Nikhil; Emran, Talha Bin; Rahman, Md. Rezaur; Sharma, Rohit; Matin, Mohammed Mahbubul (Hindawi Publications, 2023-05-18)

Multidrug-resistant (MDR) pathogens have created a fatal problem for human health and antimicrobial treatment. Among the currently available antibiotics, many are inactive against MDR pathogens. In this context, heterocyclic ...

Recent Advances in Micro- and Nano-Drug Delivery Systems Based on Natural and Synthetic Biomaterials

Harun-Or-Rashid, Md.; Aktar, Most. Nazmin; Hossain, Md. Sabbir; Sarkar, Nadia; Islam, Md. Rezaul; Arafat, Md. Easin; Bhowmik, Shukanta; Yusa, Shin-ichi (MDPI Publications, 2023-11-28)

Polymeric drug delivery technology, which allows for medicinal ingredients to enter a cell more easily, has advanced considerably in recent decades. Innovative medication delivery strategies use biodegradable and bio-reducible ...

Real-Time Dataset of Pond Water for Fish Farming Using IoT Devices

Islam, Md. Monirul (Elsevier, 2023-11-04)

This paper introduces a real-time water quality dataset of five ponds for fish farming obtained through an IoT frame- work for monitoring the aquatic environmental conditions. It utilizes sensors and an Arduino ...

Brain tumor detection from MRI medical images based on machine learning algorithms

Omy, Jannatul Faria (Daffodil International University, 2024-01-21)

This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...

Prediction of flood using ensemble machine learning methods in Bangladesh

Siam, Galib Md. Bin Hasan; Akila, Rifa (Daffodil International University, 2024-01-21)

Flooding occurs when a water body engulfs the mainland, disrupting the regular lives of the inhabitants. Bangladesh faces a persistent risk of flooding due to its geographical location and the impacts of climate change. ...

ERP Software Management in Odoo

Numan, Khaza (Daffodil International University, 2024-01-21)

I had to work as an intern throughout my last year of computer science and engineering in order to fulfill the requirements for my B.Sc. This report includes a summary of my work experience from my internship. I mostly ...

Web based music recommendation using machine learning techniques

Mohammad, Abu Sayeed (Daffodil International University, 2024-01-21)

Finding individualized and interesting music experiences has grown more difficult in a time when a wide ocean of musical stuff is easily accessible. This work analyzes the field of music recommendation using a web-based ...

Re-Emergence of Rift Valley Fever: An Update and Preventive Measures

Chopra, Hitesh; Dhama, Kuldeep; Emran, Talha B. (Wolters Kluwer Health, Inc, 2023-01-27)

WHO on dated October 20, 2022, declared the outbreak of Rift Valley fever (RVF), in African subcontinent country known as Mauritania. In Mauritania, between August 30, 2022 and October 17, 2022, about 47 cases were ...

Bone fractures classification using deep learning approaches

Uddin, Rahat (Daffodil International University, 2024-01-21)

Fracture detection in medical imaging is a well-established paradigm. These days, a lot of doctors and other medical professionals utilize computer-aided diagnostic systems (CAD) to assist them diagnose a variety of ...

Using Machine Learning Techniques for Rice Leaf Disease Detection

Ashik, Md Maruf Hasan (Daffodil International University, 2024-01-25)

In order to prevent global warming on Earth, one of the most important resources is plants. Nonetheless, a multitude of ailments plague the plants. Just recently has study begun on the identification of plant diseases. ...

Radiographic Analysis of Morphological Variations of Sella Turcica in Different Skeletal Patterns Among Saudi Subpopulations

Issrani, Rakhi; Alanazi, Sarah Hatab; Alrashed, Fouz Fawaz; Alrasheed, Shouq Saud; Bader, Alzarea K; Prabhu, Namdeo; Alam, Mohammad Khursheed; Ali Khan, Zafar; Khan, Tahir Ullah (Dove Press, 2023-06-15)

"Background: Size and shape of the sella turcica is considered vital for many radiographic analyses. Objectives: To assess and compare the linear dimensions and shape of sella turcica on digital lateral cephalograms ...

Quasi-Yagi Antenna Design for LTE Applications and Prediction of Gain and Directivity Using Machine Learning Approaches

Haque, Md. Ashraful; Zakariya, M.A.; Al-Bawri, Samir Salem; Yusoff, Zubaida; Islam, Mirajul; Saha, Dipon; Abdulkawi, Wazie M.; Rahman, Md Afzalur; Paul, Liton Chandra (Elsevier, 2023-09-01)

In recent years, improvements in wireless communication have led to the development of microstrip or patch antennas. The article discusses using simulation, measurement, an RLC equivalent circuit model, and machine learning ...

Quantum Calculation, Docking, ADMET and Molecular Dynamics of Ketal and Non-ketal Forms of D- glucofuranose Against Bacteria, Black & White Fungus, and Triple-Negative Breast Cancer

Akash, Shopnil; Kumer, Ajoy; Chandro, Akhel; Chakma, Unesco; Matin, Mohammed Mahbubul (Biointerface Research in Applied Chemistry, 2023)

"D-glucofuranose has potent bioactivity against numerous diseases and pathogens, such as bacteria, fungi, viruses, and cancer. Normally, the ketal form of D-glucofuranose is converted into the non-ketal form by drug ...

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