Browsing by Author "Rahman, Rafeed"
Now showing items 1-20 of 36
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Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
Rodela, Raisa Rahman; Efty, Farhan Tanvir; Rahman, Mubashira; Wajiha, Shaira (Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
An approach to detect epileptic seizure using XAI and machine learning
Bijoy, Emam Hasan; Rahman, Md. Hasibur; Ahmed, Sabbir; Laskor, Md. Shifat (Brac University, 2022-05)One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ... -
An approach to detect smartphone addiction through activity recognition and app usage behaviour
Uz Zaman, Nur; Akther, Afroza; Tabassum, Nowshin; Samrat, Md. Khaliduzzaman Khan; Khan, Swad Mustasin (Brac University, 2023-05)The widespread use of smartphones has raised concerns about problematic smartphone use or addiction, which has become a significant issue in today’s society. Despite the recognition of this research area, detecting smartphone ... -
Automated reference validation for scholarly publications using NLP
Khan, A S M Nasim; Khan, Mohammad Nasif Sadique; Howlader, MD. Adnan; Roy, Ayan (Brac University, 2024-01)Accurate references in scholarly publications are a crucial aspect of scientific writing. The manual validation of references can be a time-consuming and error-prone process. This research introduces an updated version ... -
Brain hemorrhage detection using hybrid machine learning algorithm
Iqbal, Khondoker Nazia; Azad, Istinub; Emon, Md. Imdadul Haque; Amlan, Nibraj Safwan; Aporna, Amena Akter (Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ... -
Brain tumor detection with convolutional neural network
Galib, Abrar Tahmid; Taposh, Maruf Hasan; Nazim, Annas Mohd. (Brac University, 2023-09)The brain is the command center of our nervous system, which enables thoughts, memories, movements, and emotions. In other words, it is the most important organ in the human body. The human brain is very vulnerable to ... -
Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
Hassan, Ibne; Tahsin, Raida Mobashshira; Toma, Sadia Shara; Utchhash, Tausif Tazwar Quadria (Brac University, 2023-01)As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ... -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Tasnim, Anika; Hossain, Nigah; Tabassum, Sabrina; Parvin, Nazia (Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
Nawrin, Ishrat Nur; Trina, Tonusree Talukder (Brac University, 2023-05)Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ... -
Construction of 3D environment from 2D RGB images and depth information
Shakir, Redwanul Islam; Hossain, Sarwar; Khan, Mehrab Mohsin; Mayaz, Md Ishtiaq Enam (Brac University, 2023-05)Modern operations have introduced a new class of highly functional applications, redefining what can be built in a given amount of time. 3D modeling is required to resolve several shortcomings in outdated processes and ... -
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
Maliha, Miftahul Zannat; Trisha, Ananya Subhra; Tamzid Khan, Abu Mauze; Das, Prasoon; Shakil, Shuhanur Rahman (Brac University, 2023-01)For the technological shift, advancing epoch towards cryptocurrency intensified the impactful method. Metaverse can originate the base operation into a diversified level. The extension of digital marketing contributes ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
Islam, Tahsin; Absar, Shahriar; Nasif, S.M. Ali Ijtihad; Mridul, Sadman Sakib (Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ... -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
Mim, Ankhi Akter; Ashakin, Kazi Habibul; Hossain, Sadat; Orchi, Nabiha Tasnim; Him, Al Shahriar (Brac University, 2024-01)Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ... -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
Irfanuddin, Chowdhury Mohammad; Shafin, Wasique Islam; Ahmed, Koushik; Khan, Md. Hasib (Brac University, 2023-01)Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
Islam, Md. Tahmidul; Kabir, Abrar; Chowdhury, Imtiaz Ahmed; Afrin, Sadiya; Nahin, Rakibul Alam (Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ... -
Electroencephalography based brain controlled grasp and lift
Chakraborty, Pritam; Akter, Sanjida; Hasin, Bariyat; Ahmed, Syeda Faria (Brac University, 2021-09)The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ... -
Exploring attacks in the NFT gaming industry: A study of risks and mitigation strategies
Mohima, Zarin Rahman; Bin Bashar, Syed Ziaul; Muktadir, Rawnak; Hossain, Amirah; Mahmud, Shafin (Brac University, 2023-01-23)Exploring the decentralized concept of NFT games implemented on blockchain to demonstrate possession of specific game elements, has enabled the integration of blockchain features technology where the developer enables a ... -
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
Biswas, Sunanda; Sarkar, Spandan; Islam, MD. Manazir (Brac University, 2021-10)Nature and technology are two di erent subject matter with having much dissension between each. Only a few years back, technological growth looked like a threat to nature. However, the bene t of having huge computational ... -
Intrusion detection system for various IoT attacks on MQTT protocol
Farhan; Mueth Ul Ehsan Ananno; Tanzil Talat Anonto; Sazzad Alam Tomal (Brac University, 2022-01)In recent times the number of IoT devices have increased massively but the security of these devices has not been upgraded. Due to this huge number, achieving high security is a big challenge. The use of a classic ... -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
Moon, Nowrin Tasnim; Siddiqua, Sabiha Afrin; Parvin, Shahana; Muntaha, Sidratul; Hassan, K.M. Mehedi (Brac University, 2023-01)In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ...