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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier 
    Mahmud, S M Hasan; Ali, Md Mamun; Shahriar, Mohammad Fahim; Al-Zahrani, Fahad Ahmed; Ahmed, Kawsar; Nandi, Dip; Bui, Francis M. (Tech Science Press, 2023-10-08)
    Alzheimer’s disease (AD) is a neurodevelopmental impairment that results in a person’s behavior, thinking, and memory loss. The most common symptoms of AD are losing memory and early aging. In addition to these, there ...
  • Detection of Flow Based Anomaly in Openflow Controller 
    Dey, S.; Rahman, M.; Uddin, Md. Raihan (4th International Conference on Electrical Engineering and Information and Communication Technology, 2018-09-01)
    Software Defined Networking (SDN) has come to prominence in recent years and demonstrates an enormous potential in shaping the future of networking by separating control plane from data plane. OpenFlow is the first and ...
  • Detection of Maize and Peach Leaf Diseases Using Image Processing 
    Sheikh, Md. Helal; Mim, Tahmina Tashrif; Reza, Md. Shamim; Rabby, AKM Shahariar Azad; Akhter, Syed (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-12-30)
    There are thousands of grains and fruits grown on this planet every day. In order to cope with the needs of the people, new farming practices are constantly being invented. In addition, the discovery and use of new ...
  • Developing a Classification CNN Model to Classify Different Types of Fish 
    Ahmed, Farhan; Basak, Bijoy; Chakraborty, Simonta; Karmokar, Tumpa; Reza, Ahmed Wasif; Imam, Omar Tawhid; Arefin, Mohammad Shamsul (Springer, 2023-07-01)
    Identifying any fish type can be difficult for people who are not familiar with fish. Implementation of a fish classification machine learning model can become helpful in this scope. The purpose of this paper is to build ...
  • Development of Score Based Smart Risk Prediction Tool for Detection of Type-1 Diabetes 
    Al Masud, Fuyad; Hosen, Md. Sazib; Ahmed, Arzo; Ibn Bashar, Mamun; Muyeed, Abdul; Jahan, Sohely; Paul, Bikash Kumar; Ahmed, Kawsar (Biointerface Research in Applied Chemistry, 2021)
    In this study, a smart risk prediction tool has been demonstrated along with the algorithm, which works as a backend of the tool to detect Type-1 Diabetes. The algorithm was contrived by the weight age values that are ...
  • Disaster Related Tweets Analysis with Machine Learning Approaches 
    Islam, Taminul; Islam, Monjurul; Rudra, Rahul; Pranto, Ismail Hossain; Mahmud, Md.Tanvir; Foysal, Md. Musfiqur Rahman (Elsevier, 2023-11-26)
    It's no secret that the microblogging service Twitter (X) has quickly risen to prominence as one of the most reliable places to get the latest updates on breaking events. Tweets, Twitter's information streams, are sent out ...
  • Dual Band Antenna Design and Prediction of Resonance Frequency Using Machine Learning Approaches 
    Haque, Md. Ashraful; Sarker, Nayan; Singh, Narinderjit Singh Sawaran; Rahman, Md Afzalur; Hasan, Md. Nahid; Islam, Mirajul; Zakariya, Mohd Azman; Paul, Liton Chandra; Sharker, Adiba Haque; Abro, Ghulam E. Mustafa; Hannan, Md; Pk, Ripon (Scopus, 22-10-18)
    An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed and evaluated in this paper. This article covers how to evaluate the performance of the designed antenna by using a combination ...
  • Early Prediction and Analysis of DTI and MRI-Based Alzheimer’s disease through Machine Learning Techniques 
    Mahjabeen, Amira; Mia, Md Rajib; Shariful, F. N. U.; Faruqui, Nuruzzaman; Mahmud, Imran (Springer, 2023-06-07)
    Alzheimer’s disease (AD) is a neurodegenerative disease generally occurring in 65 years or older, destroying neurons and various brain areas. Initially mild, the symptoms develop increasingly severe over time. Patients ...
  • Early Prediction of Chronic Kidney Disease 
    Mondol, Chaity; Shamrat, F. M. Javed Mehedi; Hasan, Md. Robiul; Alam, Saidul; Ghosh, Pronab; Tasnim, Zarrin; Ahmed, Kawsar; Bui, Francis M.; Ibrahim, Sobhy M. (Daffodil International University, 22-08-29)
    Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve survivability, early discovery and good management are encouraged. In this paper, CKD was diagnosed using multiple optimized neural ...
  • An Early Warning System of Heart Failure Mortality With Combined Machine Learning Methods 
    Sutradhar, Ananda; Al Rafi, Mustahsin; Alam, Mohammad Jahangir; Islam, Saiful (Institute of Advanced Engineering and Science (IAES), 2023-08-18)
    Heart failure (HF) is currently the leading cause of morbidity and mortality worldwide. Identifying the risk of mortality at the early s tages is crucial to reducing the mortality rate. However, the traditional ...
  • Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms 
    Islam, Taminul; Sadik, Md Rezwane; Islam, Md. Fajle Rabbi; Mona, Tanzina Rahman; Rahman, Tanjila; Foysal, Md. Musfiqur Rahman (Institute of Electrical and Electronics Engineers Inc., 2023-01-04)
    Diabetes is a common health problem worldwide; it is especially pervasive in Bangladesh. The condition manifests in a person when his blood sugar is consistently high. It also contributes to other health problems like ...
  • The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction 
    Absar, Nurul; Das, Emon Kumar; Shoma, Shamsun Nahar; Khandaker, Mayeen Uddin; Miraz, Mahadi Hasan (Daffodil International University, 2022-06-20)
    The disease may be an explicit status that negatively affects human health. Cardiopathy is one of the common deadly diseases that is attributed to unhealthy human habits compared to alternative diseases. With the help of ...
  • An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods 
    Al Marouf, Ahmed; Mottalib, Md Mozaharul; Alhajj, Reda; Rokne, Jon; Jafarullah, Omar (MDPI Publications, 2023-12-24)
    The eye is generally considered to be the most important sensory organ of humans. Diseases and other degenerative conditions of the eye are therefore of great concern as they affect the function of this vital organ. With ...
  • Ekush 
    Rabby, AKM Shahariar Azad; Hossain, Syed Akhter; Abujar, Sheikh; Islam, Md. Sanzidul; Haque, Sadeka (Communications in Computer and Information Science, Springer, 2019-07-17)
    Ekush the largest dataset of handwritten Bangla characters for research on handwritten Bangla character recognition. In recent years Machine learning and deep learning application-based researchers have achieved interest ...
  • EMG-based Classification of Forearm Muscles in Prehension Movements 
    Rahman, Sam Matiur; Altwijri, Omar; Ali, Md. Asraf; Alqahtani, Mahdi (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Springer, 2020-07-30)
    This paper aimed to classify two forearm muscles known as Flexor Carpi Ulnaris (FCU) and Extensor Carpi Radialis Longus (ECRL) using surface Electromyography (sEMG) signal during different hand prehension tasks, such as ...
  • Empirical Study of Computational Intelligence Approaches for the Early Detection of Autism Spectrum Disorder 
    Khatun, Mst. Arifa; Ali, Md. Asraf; Ahmed, Md. Razu; Noori, Sheak Rashed Haider; Sahayadhas, Arun (Springer, 2020-09-30)
    The objective of the research is to develop a predictive model that can significantly enhance the detection and monitoring performance of Autism Spectrum Disorder (ASD) using four supervised learning techniques. In this ...
  • Empirical Study of Computational Intelligence Approaches for the Early Detection of Autism Spectrum Disorder 
    Khatun, Mst. Arifa; Ali, Md. Asraf; Ahmed, Md. Razu; Noori, Sheak Rashed Haider; Sahayadhas, Arun (Scopus, 2021)
    The objective of the research is to develop a predictive model that can significantly enhance the detection and monitoring performance of Autism Spectrum Disorder (ASD) using four supervised learning techniques. In this ...
  • Enhancing Sentiment Analysis using Machine Learning Predictive Models to Analyze Social Media Reviews on Junk Food 
    Ajmain, Moshfiqur Rahman; Khatun, Mst. Farhana; Bandan, Sheikh Sadi; Rejuan, Arifur Rahman; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (Daffodil International University, 2023-12-20)
    In the last few years, the Use of social media has increased immensely. People share different types of opinions on social media like Facebook posts, comments, tweets etc. Sentiment analysis involves the process of ...
  • Ensemble Based Machine Learning Model for Early Detection of Mother's Delivery Mode 
    Hasan, Mahmudul; Zobair, Md Jakaria; Akter, Sumya; Ashef, Mahir; Akter, Nazrin; Sadia, Nahid Binte (IEEE, 2023-04-19)
    The mother's mode of delivery greatly impacts the relationship between the newborn baby and the mother, as well as the mother's and baby's health. Currently, the cesarean rate is increasing at an alarming rate. The inability ...
  • Ensemble-based Machine Learning Algorithms for Classifying Breast Tissue Based on Electrical Impedance Spectroscopy 
    Rahman, Sam Matiur; Ali, Md Asraf; Altwijri, Omar; Alqahtani, Mahdi; Ahmed, Nasim; Ahamed, Nizam U. (Advances in Intelligent Systems and Computing, Springer, 2019-06-19)
    The initial identification of breast cancer and the prediction of its category have become a requirement in cancer research because they can simplify the subsequent clinical management of patients. The application of ...

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