نتائج البحث

Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.

• Authors : Naznin S; Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.; Uddin MJ

Subjects: Machine Learning* ; Child Mortality*/Child Mortality*/Child Mortality*/trends ; Infant Mortality*

• Source: PloS one [PLoS One] 2025 Jun 11; Vol. 20 (6), pp. e0324825. Date of Electronic Publication: 2025 Jun 11 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

• Authors : Naznin S; Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.; Uddin MJ

Subjects: Machine Learning* ; Child Mortality*/Child Mortality*/Child Mortality*/trends ; Infant Mortality*/Infant Mortality*/Infant Mortality*/trends

• Source: PloS one [PLoS One] 2025 Feb 07; Vol. 20 (2), pp. e0317715. Date of Electronic Publication: 2025 Feb 07 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients.

• Authors : Sutradhar A; Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka, 1216, Bangladesh.; Al Rafi M

Subjects: Machine Learning* ; Heart Failure*/Heart Failure*/Heart Failure*/diagnosis; Humans

• Source: Scientific reports [Sci Rep] 2023 Dec 18; Vol. 13 (1), pp. 22874. Date of Electronic Publication: 2023 Dec 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

تفاصيل العنوان

Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks.

• Authors : Mehedi ST; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.; Anwar A

Subjects: Machine Learning* ; Neural Networks, Computer*; Electricity

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jul 11; Vol. 21 (14). Date of Electronic Publication: 2021 Jul 11.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective.

• Authors : Asaduzzaman S; Department of Computer Science and Engineering, Rangamati Science and Technology University, Vedvedi, Rangamati, Bangladesh. .; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail, 1902, Bangladesh. .

Subjects: Machine Learning* ; Neoplasms*; Algorithms

• Source: BMC bioinformatics [BMC Bioinformatics] 2021 Apr 24; Vol. 22 (1), pp. 213. Date of Electronic Publication: 2021 Apr 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

تفاصيل العنوان

A novel integration of Hodrick–Prescott filter (Hp-filter) and wavelet transform (WT) with optimize support vector machine (PSO-SVM) in predicting solar radiation.

• Authors : Pal Shuvo, Shuvendu¹ (AUTHOR) ; Pal Shibazee, Shirshendu² (AUTHOR); Paul, Goutam³ (AUTHOR)

• Source: Scientific Reports. 4/25/2025, Vol. 15 Issue 1, p1-21. 21p.

تفاصيل العنوان

Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning.

• Authors : Mim, Mithila Akter¹ (AUTHOR) ; Khatun, M. R.¹ (AUTHOR) ; Hossain, Muhammad Minoar^1,2 (AUTHOR)

• Source: Algorithms. Jan2025, Vol. 18 Issue 1, p20. 27p.

تفاصيل العنوان

A robust deep learning approach for identification of RNA 5-methyluridine sites.

• Authors : Shaon, Md. Shazzad Hossain¹ (AUTHOR); Karim, Tasmin¹ (AUTHOR); Ali, Md. Mamun^2,3 (AUTHOR)

• Source: Scientific Reports. 10/28/2024, Vol. 14 Issue 1, p1-13. 13p.

تفاصيل العنوان

A Deep CNN-Based Salinity and Freshwater Fish Identification and Classification Using Deep Learning and Machine Learning.

• Authors : Rahman, Wahidur^1,2 (AUTHOR) ; Rahman, Mohammad Motiur¹ (AUTHOR) ; Mozumder, Md Ariful Islam³ (AUTHOR)

Subjects: *Convolutional neural networks; *Machine learning; *Identification of fishes

• Source: Sustainability (2071-1050). Sep2024, Vol. 16 Issue 18, p7933. 23p.

تفاصيل العنوان

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.

• Authors : Rahman, Anichur^1,2; Debnath, Tanoy^2,3; Kundu, Dipanjali¹

• Source: AIMS Public Health. 2024, Vol. 11 Issue 1, p58-109. 52p.

تفاصيل العنوان