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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • Identification of Spoken Language Using Machine Learning Approach 
    Shahriar, Md. Asif; Aziz, Tftekhar; Banik, Shovan; Sattar, Abdus (23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2020-12-19)
    Identification of spoken language is the way to detect the specific language which is spoken by an anonymous speaker. We will also find out several techniques of machine learning for detecting spoken language. Our major ...
  • Identifying Genre of a Book from Its Summary Using Machine Learning Approach 
    Bhuiyan, Saidur Rahman; Khan, Md. Rafidul Hasan; Afroz, Umme Sanzida; Rahman, Md. Sadekur (Springer Nature, 2022-10-14)
    Categorical search and category-wise book recommendation are two common tasks for online booksellers. But for a machine to understand this category from a given text is still challenging work, where machine learning is a ...
  • Impact Prediction of Online Education During COVID-19 Using Machine Learning: A Case Study 
    Hossain, Sheikh Mufrad; Rahman, Md. Mahfujur; Barros, Alistair; Whaiduzzaman, Md. (Springer Nature, 2023-01-25)
    The transition from traditional to online education is challenging and has many obstacles in various situations. Due to the Covid-19 situation, we use digital blended education from the traditional system. However, in some ...
  • Implementation of Machine Learning to Detect Hate Speech in Bangla Language 
    Ahammed, Shovon; Rahman, Mostafizur; Niloy, Mahedi Hasan; Chowdhury, M. Mazharul Hoque (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06-16)
    Hate speech is a crime in all countries. Hate speech can be for women, religions, countries, cultures. The big problem for hate speech is that it entices the evil people. Moreover, it inspires them to spread hatred in the ...
  • Improving the Accuracy of Heart Disease Prediction Approach of Machine Learning Algorithms 
    Hossain, Md. Belal; Uddin, Mohammed Nasir; Alvi, Syada Tasmia; Era, Chowdhury Abida Anjum (IEEE, 2023-05-23)
    The work is about forecasting heart disease. First and foremost, we gathered data from various sources and divided it into two portions, one of which is 80% and the other is 20%, where the first part is for training and ...
  • Influence of Catalyst on the Yield and Quality of Bio-Oil for the Catalytic Pyrolysis of Biomass: A Comprehensive Review 
    Unknown author (MDPI Publications, 2023-07-22)
    In the modern world, as the population rises and fossil fuel supplies decline, energy demands continue to rise. Moreover, the use of fossil fuels harms the ecology, contributing to pollution and global warming. In order ...
  • An Investigative Design of Optimum Stochastic Language Model for Bangla Autocomplete 
    Eyamin, Md.Iftakher Alam; Habib, Md. Tarek; Muhammad Ifte Khairul Islam; Rahman, Md. Sadekur; Khan, Md. Abbas Ali (Indonesian Journal of Electrical Engineering and Computer Science, 2019)
    Word completion and word prediction are two important phenomena in typing that have extreme effect on aiding disable people and students while using keyboard or other similar devices. Such autocomplete technique also helps ...
  • IoT and ML Based Approach for Highway Monitoring and Streetlamp Controlling 
    Rahman, Mushfiqur; Suny, Md. Faridul Islam; Tasnim, Jerin; Zulfiker, Md. Sabab; Alam, Mohammad Jahangir; Akhund, Tajim Md. Niamat Ullah (Springer Nature, 2023-06-11)
    Excessive speed and violating traffic rules may cause dangerous road accident. Some reports show that around 3700 people die every day due to road accident. Controlling vehicle speed and proper automated street lighting ...
  • IOT Based Health Monitoring Automated Predictive System to Confront Covid-19 
    Choyon, Md Mashrur Sakib; Rahman, Maksudur; Kabir, Md. Mohsin; Mridha, M. F. (2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), IEEE, 2020-01)
    As the whole world is striving to combat the Coronavirus disease (COVID-19), healthcare and health monitoring systems are struggling to confront the virus. Many cases have been observed where the COVID-19 could not be ...
  • Ishara-Bochon 
    Islam, Md. Sanzidul; Mousumi, Sadia Sultana Sharmin; Jessan, Nazmul A.; Rabby, AKM Shahariar Azad; Abujar, Sheikh; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-20)
    Ishara-Bochon, the first multipurpose comprehensive open access isolated digits dataset for Bangladeshi Sign Language (BdSL) is introduced in this article. Sign language digits is a major part of communication for deaf and ...
  • LFNNR 
    Zim, Md Ziaul Haque; Sarkar, Md Sazzad; Nisi, Zeba Fauzia; Das, Nimai Chandra (IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE, 2021-04-09)
    Humans and animals have a brain and nervous system, and they process in-formation with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • A Machine Learning Approach for Driver Identification 
    Ali Khan, Md. Abbas; Ali, Mohammad Hanif; Haque, Fazlul; Habib, Md. Tarek (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Driver identification is a momentous field of modern decorated vehicles in the perspective of the controller area network (CAN-Bus). Many conventional systems are used to identify the driver. One step ahead, most of the ...
  • A Machine Learning Approach for Emotion Classification in Bengali Speech 
    Islam, Md. Rakibul; Akhi, Amatul Bushra; Akter, Farzana; Rashid, Md Wasiul; Rumu, Ambia Islam; Lata, Munira Akter; Ashrafuzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • Machine Learning Approach for Software Defect Prediction 
    Hossen, Md Anwar; Islam, Md. Shariful; Yusof, Nurhafizah Abu Talip; Rahman, Md. Sakib; Siddika, Fatema; Rahman, Mostafijur; Khatun, Sabira; Karim, Mohamad Shaiful Abdul; Mahmud, S. M. Hasan (Lecture Notes in Electrical Engineering, Springer, 2020-03-24)
    The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. ...
  • A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model 
    Alam, Mirza Mohtashim; Mohiuddin, Karishma; Islam, Md. Kabirul; Hassan, Mehedi; Hoque, Md. Arshad-Ul; Allayear, Shaikh Muhammad (Scopus, 2020)
    Turnover of employee considers as one of the major issue that every company faces. Especially, if the employee has advance skills at his/her working field, then the company faces great loss during that period. To find out ...
  • A Machine Learning Approach to Predict SEER Cancer 
    Abid, DM. Mehedi Hasan; Islam, Tariqul; Zaman, Zahura; Yusuf, Fahim; Assaduzzaman, Md.; Hossain, Syed Akhter; Jabiullah, Md. Ismail (Springer, 2022-07-27)
    The SEER database is among the persuading stores regarding malignancy pointers inside us. The SEER list helps impact investigation for the gigantic measure of patients’ bolstered viewpoints for the most part ordered as an ...
  • Machine Learning Approach to Predict SGPA and CGPA 
    Saifuzzaman, Mohd.; Parvin, Masuma; Jahan, Israt; Moon, Nazmun Nessa; Nur, Fernaz Narin; Shetu, Syeda Farjana (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    The prediction of SGPA and CGPA is beneficial to university students. Students will easily get an estimate of their final outcome from this project. As a result, the students will be able to brace themselves for a successful ...
  • A Machine Learning Approach to Recognize Junk Food 
    Khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman; Rabby, AKM Shahariar Azad (Scopus, 2020)
    People are naturally food grains. So they are always looking for appetizing food and junk foods are the largest source of it. Recent time the most observable point is that peoples are attracted to outdoor foods than homemade ...

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