• Suicide & Depression Detection Using Machine Learning 

  Ahmed, Towsif; Poly, Irean Hossain; Mim, Mohsina Zaman; Faruk, Md. Omar (East West University, 2024-04-18)

  Nowadays, depression is the most common mental-health issue and the leading cause of suicide and self-injurious behavior. Due to social stigma and lack of knowledge, clinical diagnosis of various mental health conditions ...
• Unmasking Deception: Analyzing Fake Product Reviews through Machine and Deep Learning 

  Islam, Eva; Moon, Marzana Rahman; Vasha, Tasnim Karim; Mahdi, Md. Tasean (East West University, 2023-11-28)

  Online product evaluations have become a vital resource for shoppers looking for knowledge and direction for their purchases in the age of digital commerce. The prevalence of fraudulent product evaluations has jeopardized ...
• Analyzing the Performance of DV-Hop Based Localization Algorithms in Range-free Wireless Sensor Networks 

  Afrin, Tanjina; Shahan, Shakibul Hasnat; Rupom, Md. Ashraful Haque (East West University, 2023-01-18)

  Wireless sensor networks are used in a wide range of applications, including environmental monitoring, industrial automation, and healthcare. In order to effectively gather and analyze data from these networks, it is ...
• Analysis on Covid-19 Detection System Using Machine Learning & Deep Learning Models 

  Rithin, Nuzhat Tabassum; Das, Joy; Das, Bijoy (East West University, 2023-01-18)

  COVID-19, considered the deadliest virus of the twenty-first century, has claimed the lives of millions of people worldwide in less than two years. The respiratory disease (COVID- 19) is caused by the novel coronavirus ...
• Network Intrusion Detection Using Machine Learning & Deep Learning 

  Labonno, Meherunesa; Ahmed, Sabbir (East West University, 2023-02-05)

  In recent decades, rapid development in the world of technology and networks has been achieved, also there is a spread of Internet services in all fields over the world. Piracy numbers have increased, also a lot of modern ...
• Malicious URL Detection Using Machine Learning and Deep Learning Algorithms 

  Mumu, Mahmuda Haque; Aishy, Tanzina (East West University, 2023-01-18)

  The majority of commercial enterprises rely on the World Wide Web's Internet services (WWW). These services are vulnerable to cyberattacks. The majority of cyberattacks occur when users click on malicious URLs. URL is an ...
• Cyber Threat Detection Using Machine Learning Algorithms On Heterogeneous VHS-22 Dataset 

  Rahman, Faiaz; Tanna, Rafee Zunaied; Habiba, Umme (East West University, 2023-01-18)

  Large and varied amounts of data are needed for the research of emerging machine learning (ML) techniques for detecting network threats, such as malware-related threats. The research community has been using a number of ...
• Mental Health Prediction Among Unemployed Graduates Using Machine Learning Approach: BD Perspective 

  Bristy, Nilima Islam (East West University, 2023-01-18)

  According to emerging advancements, university graduates looking for work are more likely to experience common psychological illnesses including obsessive thinking, panic attacks, nervousness, or distress. Nevertheless, ...
• Bangla Fake Food Review Detection Using Machine Learning Algorithms 

  Uddin, Md Ashraf; Paul, Tusher; Ahmmed, Md Riaz (East West University, 2023-01-18)

  In recent years, Fake Review Detection has emerged as a key and well-liked topic for both business and research due to the explosive growth of e-commerce platforms. In today's e-commerce, internet reviews are crucial for ...
• Thyroid Disease Analysis and Prediction by Using Machine Learning and Deep Learning: A comparative Approach 

  Tabassum, Sadia; Rumky, Syeda Fahmida Farzana; Shahariar, Md. Farhan (East West University, 2022-09-28)

  The high incidence of thyroid diseases has increased globally. Thyroid disease is a widespread issue affecting huge human populations. Thyroid problems are chronic, and patients with thyroid abnormalities can lead stable, ...
• Study on COVID-19 vs Viral PNEUMONIA Detection Using Convolutional Neural Network 

  Quddus, Md.Shohel; Rafi, Moin Ahmed; Saba, Humayra Akter (East West University, 2022-09-28)

  In fewer than two years, COVID-19, which is widely regarded as the most lethal virus of the twenty-first century, has been responsible for the deaths of millions of people all over the world. The novel coronavirus known ...
• Performance Analysis of Energy Harvesting Scheme using Dual-hop Wireless Link 

  Yesmin, Suriya; Mim, Sabera; Faisal, Md Fahim (East West University, 2022-09-28)

  In recent years most researchers in different sectors of wireless communication  are analysing to find out maximum channel capacity with the optimal solutions of signal energy at the receiving end of the wireless communication ...
• Automatic Covid-19 Detection Model from Chest X-ray using CNN, VGG16 and Best Fit Accurate Model 

  Shaon, Sheikh Shahed Ahmed (East West University, 2022-05-05)

  This paper describes chest X-Ray images classification like Covid-19 infected chest images or normal chest images using various types of deep learning model. These are VGG16(Transfer learning) and CNN (Convolution Neural ...
• Sentiment Analysis of Twitter Data Using Machine Learning and Deep Learning 

  Pal, Swapan; Hasan, Mahamudul; Paul, Amit (East West University, 2022-06-17)

  In recent years, sentiment analysis has become a popular topic of discussion because of the rapid growth of various social media sites and e-commerce sites. At its core sentiment analysis analyze people’s opinion and try ...
• Covid-19 Impact Analysis and Death Prediction Using Machine Learning 

  Ahad, Salman (East West University, 2022-06-17)

  The scale of the COVID-19 epidemic, as well as the global lockdown consequences, are still unknown. However, as events unfold, there has been a rapid fall in social connections, a looming global economic downturn, deaths, ...
• Ethical Hacking Using Penetration Testing 

  Hossain, Redoan (East West University, 2022-06-08)

  Ethical hacking word realize us that hacking is for ethical purpose and helping purpose, on the other hand, penetration testing is one of the practical tools in the cybersecurity world and this makes an organization a ...
• Brain Tumor Detection and Classification Using Convolutional Neural Network 

  Shaharia, Md. Shafin; Meem, Mimusa Rahman (East West University, 2022-05-30)

  MRI images are commonly utilized in medical science to detect brain tumors. Some types of brain tumors are fatal. As a result, it's critical to figure out which one is lethal so that treatment may begin as soon as possible. ...
• Analysis of Real Time Face Mask Detection Using Transfer Learning Method 

  Tabassum, Syeda Fariha; Yasmin, Nilufa (East West University, 2022-06-06)

  Wearing a mask is one of the non-pharmaceutical strategies that can be utilized to reduce the principal source of SARS-CoV2 droplets ejected by an infected person. Regardless of debates over medical resources and mask ...
• A Study on Food-order Using Database Management System 

  Anika, Kazi Farzana Islam; Tanzim, Sumaita; Gaice, Fareba Noyshine (East West University, 2022-05-26)

  “A Study on Food-order Using Database Management System.” is a software developed for managing various activities for ordering various kinds of delicious foods. For the past few years, the number of food delivery companies ...
• Fake Review Detection Using Machine Learning and Deep Learning Algorithms 

  Podder, Ankan; Farhana, Fayeja; Afroze, Farzana (East West University, 2022-05-29)

  With the rapid growth of e-commerce platform, the Fake Review Detection has become a popular and significant topic for both the businesses and research area in recent years. For making a best decision, online reviews play ...

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