DSpace Repository

Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

Sort by: Order: Results:

  • Computer Vision and Image Analysis for Industry 4.0 
    Siddique, Nazmul; Arefin, Mohammad Shamsul; Ahad, Md Atiqur Rahman; M. Ali Akber Dewan; Dewan, M. Ali Akber (Chapman & Hall, 2023-06-12)
    Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments ...
  • A Computer Vision Approach to Classify Local Flower using Convolutional Neural Network 
    Islam, Saiful; Foysal, Md. Ferdouse Ahmed; Jahan, Nusrat (IEEE, 2020-06-19)
    Flower is the most beautiful part of this earth. In our busy lives, many flowers can be seen all over the places. Till now, more than 352,000 flower species in the world. In our country Bangladesh, the total numbers of ...
  • Computer Vision Based Local Vegetables Recognition 
    Mia, Md. Robel; Chakraborty, Narayan Ranjan (2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021)
    We often travel to different countries, but we are not aware of the local vegetables of many countries. If we are aware of the local vegetables of different countries, then it is very easy for us to recognize the specific ...
  • Context-based News Headlines Analysis Using Machine Learning Approach 
    Rahman, Shadikur; Hossain, Syeda Sumbul; Islam, Saiful; Chowdhury, Mazharul Islam; Rafiq, Fatama Binta; Badruzzaman, Khalid Been Md. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2019-08-09)
    An increasing number of people are changing their way of thinking by reading news headlines. The interactivity and sincerity present in online news headlines are becoming influential to society. Apart from that, news ...
  • Coupling of Machine Learning and Remote Sensing for Soil Salinity Mapping in Coastal Area of Bangladesh 
    Sarkar, Showmitra Kumar; Rudra, Rhyme Rubayet; Sohan, Abid Reza; Das, Palash Chandra; Ekram, Khondaker Mohammed Mohiuddin; Talukdar, Swapan; Rahman, Atiqur; Alam, Edris; Islam, Md Kamrul; Islam, Abu Reza Md. Towfiqul (Springer, 2023-10-10)
    Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Cucumber Disease Recognition Using Machine Learning and Transfer Learning 
    Mia, Md. Jueal; Maria, Syeda Khadizatul; Siddique Taki, Shahrun; Biswas, Al Amin (Bulletin of Electrical Engineering and Informatics, 2021)
    Cucumber is grown, as a cash crop besides it is one of the main and popular vegetables in Bangladesh. As Bangladesh's economy is largely dependent on the agricultural sector, cucumber farming could make economic and ...
  • Cybersecurity Awareness Assessment Based on Bangladeshi People Perspective Using Machine Learning Approaches 
    Tahmiduzzaman, K. B. M.; Zumma, Md. Thoufiq; Babi, Farzana; Sakib, Nazmus; Adnan-E-Elahe, Md. (IEEE, 2023-11-23)
    The demands placed on cyber security continue to rise. When data is compromised from a company, organization, or individual, we realize how crucial it is to have a basic understanding of cyber security. The company should ...
  • A Data Analysis Technique to Find the Environmental Effect on Egg Production in the Poultry Farm Using ML and IOT 
    Siddika, Ayesha; Faysal, Md Anowar Hossen; Ahmed, Md Rasel; Rahaman, Md Masudur; Ali, Mohammad; Foysal, Md. Ferdouse Ahmed (Daffodil International University, 2022-05-18)
    Environmental maintenance of the poultry house is essential for maintaining the excellent health of the poultry as the rate of egg production is disrupted due to illness. Our main objective is to find real-time environmental ...
  • Data mining and Region Prediction Based on Crime Using Random Forest 
    Raza, Dewan Mamun; Victor, Debasish Bhattacharjee (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    Crime is one of the most critical problems of the today's world which affects the normal life of the society and it breaks the social, and economical flow of a country. The scenario is the same for Bangladesh. This paper ...
  • A Decision Support System of Selecting Groups (Science/ Business Studies/ Humanities) for Secondary School Students in Bangladesh 
    Hasan, Rifat; Ovy, Md. Khairul Alam; Nishi, Ifrat Zahan; Hakim, Md. Azizul; Hafiz, Rubaiya (IEEE, 2020-10-15)
    As education is the only way to turn a person into human resource, every country tries to give her citizens proper scope of bringing out their inner ability by offering the appropriate education. According to the education ...
  • A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention 
    Majeed, Mokhalad A.; Shafri, Helmi Zulhaidi Mohd; Zulkafli, Zed; Wayayok, Aimrun (MDPI, 2022-02-25)
    Dengue is a very common disease typically found in a widespread hot region. It is a deadly disease caused by female Aedes mosquitoes. Patients who have diagnosed with different types of dengue needed different types of ...
  • A Deep Learning Based Approach on Categorization of Tea Leaf 
    Kamrul, Mahadi Hasan; Rahman, Majidur; Robin, Md Risul Islam; Hossain, Md Safayet; Hasan, Mohammad Hasibul; Paul, Pritom (ACM Digital Library, 2020-01-10)
    Tea grading is a very prominent factor of the tea industry. The standard, fragrance and sweetness of tea mostly relies on this grading system. This research is a step to introduce machine learning with the tea industry, ...
  • A Deep Learning Study on Understanding Banglish and Abbreviated Words Used in Social Media 
    Das, Suharto; Islam, Md Sanzidul; Mahmud, Imran (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021-05-26)
    Day by Day, the trend of using social media(SM) has increased among the people. With the increasing rate, the use of Banglish (Merge of Bangla and English) and shortcut words has also being increased. In this research, ...
  • Deep Transfer Learning Approaches for Monkey Pox Disease Diagnosis 
    ManjurulAhsan, Md.; Uddin, Muhammad Ramiz; Ali, Md. Shahin; Islam, Md. Khairul; Farjana, Mithila; Sakib, Ahmed Nazmus; Momin, Khondhaker Al; Luna, Shahana Akter (Elsevier, 2023-04-15)
    Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, ...
  • DeePred-BBB 
    Kumar, Rajnish; Sharma, Anju; Alexiou, Athanasios; Bilgrami, Anwar L.; Kamal, Mohammad Amjad; Ashraf, Ghulam Md (Daffodil International University, 2022-05-03)
    The blood-brain barrier (BBB) is a selective and semipermeable boundary that maintains homeostasis inside the central nervous system (CNS). The BBB permeability of compounds is an important consideration during CNS-acting ...
  • Depression Detection in Social Media Comments Data Using Machine Learning Algorithms 
    Vasha, Zannatun Nayem; Sharma, Bidyut; Esha, Israt Jahan; Nahian, Jabir Al; Polin, ohora Akter (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Depression is the next level of negative emotions. When a person is in a sad mood or going through a difficult situation and it is not leaving him and giving him pain continuously and he is unable to bear it anymore, that ...
  • Design and Development of a Benchmark for Dynamic Multi-objective Optimisation Problem in the Context of Deep Reinforcement Learning 
    Hasan, Md Mahmudul; Lwin, Khin; Shabut, Antesar; Hossain, M Alamgir (2019 22nd International Conference on Computer and Information Technology, IEEE, 2019-12-20)
    Different benchmarks have played an important role in analysing algorithms for dynamic multi-objective optimisation problems. According to the literature, there are several benchmarks to deal with the dynamic multi-objective ...
  • Designing Optimum Drug Delivery Systems Using Machine Learning Approaches: a Prototype Study of Niosomes 
    Shahiwala, Aliasgar F; Qawoogha, Samar Salam; Faruqui, Nuruzzaman (Springer, 2023-04-03)
    This study demonstrates a machine learning approach in designing optimized drug formulations. Preferred Reporting Items for Systematic Reviews and Meta-Analyses system was adopted to screen literature resulting in 114 ...
  • Detecting Tomato Leaf Diseases by Image Processing Through Deep Convolutional Neural Networks 
    Hossain, Md. Iqbal; Jahan, Sohely; Asif, Md. Rashid Al; Samsuddoha, Md.; Ahmed, Kawsar (Elsevier, 2023-08-22)
    Machine Learning (ML) and Deep Learning (DL) have already brought unprecedented success in the detection of various diseases of plant leaves, fruits, buds, flowers, etc. Besides, computer science and related field researchers ...

Search DSpace


Browse

My Account