Search Results - "Patwary, Muhammed J. A."

Impact of Fuzziness Measures on the Performance of Semi-supervised Learning by Patwary, Muhammed J. A., Wang, Xi-Zhao, Yan, Dasen

“…Usage of fuzziness in the study of semi-supervised learning is relatively new. In this study, the divide-and-conquer strategy is used to investigate the…”
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An experimental study on symbolic extreme learning machine by Liu, Jinga, Patwary, Muhammed J. A., Sun, XiaoYun, Tao, Kai

“…With the advent of big data era, the volume and complexity of data have increased exponentially and the type of data has also been increased largely. Among all…”
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Recent advances of statistics in computational intelligence (RASCI) by Patwary, Muhammed J. A., Liu, James N. K., Dai, Honghua

“…[...]there has been a major change towards quantitative analysis of statistical methods as well as data through various computational approaches. [...]all the…”
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TI-Fusion: A Multimodal Anxiety Disorder Detection Method by Shadid, Mahir, Afnan, Mushfiqus Salehin, Patwary, Muhammed J. A.

“…Anxiety disorder significantly impacts individuals' well-being and daily functioning, emphasizing the need for early detection and accurate diagnosis. However,…”
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Depressive Post Classification using Transformer Models by Newaz, Iftehaz, Quader, Adib Wahid, Patwary, Muhammed J. A.

“…In our rapidly evolving contemporary world, mental health is of paramount importance, alongside physical well-being. There has been a concerted effort to raise…”
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Discovering Hidden Knowledge and Optimizing the Model by Analyzing Linear Regression Assumptions by Tanni, Kaniz Fatema, Akter, Yesmin, Jamal, Mohammad Kawser, Akter, Subrina, Patwary, Muhammed J. A.

“…Linear regression is the most frequently used regression analysis due to its simplicity in predicting and forecasting. However, because of its parametric…”
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Fuzziness-Based Semi-Supervised Learning for Early Detection of Alzheimer's Disease using MRI data by Bushra, Umme Habiba, Priya, Fahmida Chowdhury, Patwary, Muhammed J. A.

“…Alzheimer's disease (AD) is a progressive neurodegenerative condition that erodes memory and cognitive abilities. It manifests as a gradual decline in…”
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Predicting Autism Spectrum Disorder (ASD) meltdown using Fuzzy Semi-Supervised Learning with NNRW by Karim, Sara, Akter, Nazina, Patwary, Muhammed J. A.

“…Autism Spectrum Condition (ASD) is a notable psychological disorder that affects a human's ability to communicate socially. The need of early diagnosis…”
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A Review on Predicting Autism Spectrum Disorder(ASD) meltdown using Machine Learning Algorithms by Karim, Sara, Akter, Nazina, Patwary, Muhammed J. A., Islam, Md. Rashedul

“…Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability of a person's social communication. The significance of early…”
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A Machine-Learning Approach to Classify Depressive Posts from Reddit Social Media by Quader, Adib Wahid, Jamil, Md Shafayet, Uddin, Mohammad Irfan, Patwary, Muhammed J. A.

“…Depression leading to suicide has become a major concern in our society. It's high time to investigate the reason behind it. As numerous people are expressing…”
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Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model by Yasmin, Israt, Sultana, Suriya, Begum, Syeda Jobaida, Patwary, Muhammed J. A., Almohamad, Tarik Adnan, Salam, Iftekhar

“…Skin lesion is one of the most commonly encountered illnesses that need to be detected and treated at an early stage. Numerous Convolutional Neural Network…”
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Ensemble Machine Learning Approach For Agricultural Crop Selection by Islam, Arfanul, Khair, Imranul, Hossain, Sakawat, Ifty, Rashedul Arefin, Arefin, Muhammed Nazmul, Patwary, Muhammed J. A.

“…The importance of agricultural earnings and employment in most countries has decreased with time. That is also true for Bangladesh. Farmers usually design the…”
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A novel technique to solve class imbalance problem by Emu, Israt Jahan, Jahin, Dilshad, Akter, Subrina, Patwary, Muhammed J. A., Akter, Shamima

“…The introduction of Big Data has proclaimed the beginning of a new age of scientific advances. One of the most often encountered problems with raw data is a…”
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A Hybrid Classification Technique using Belief Rule Based Semi-Supervised Learning by Newaz, Iftehaz, Jamal, Mohammad Kawser, Hasan Juhas, Faked, Patwary, Muhammed J. A.

“…An advancement in the paradigm of machine learning has been acclaimed by the arrival of semi-supervised learning. In real life, it is challenging to get enough…”
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A Framework for Identifying the Learners' Engagement in E-learning Environments Using a Hybrid CNN Architecture by Anny, Tasfia Nuzhat, Chowdhury, Jafrin Iqbal, Ahsan, Tanveer, Zahur, Istiaque, Patwary, Muhammed J. A., Miraz, Mahdi H.

“…In the realm of online education, precise identification of the participants and their engagement is critical for optimal learning results. With the aim of…”
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An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW by Cao, Weipeng, Patwary, Muhammed J. A., Yang, Pengfei, Wang, Xizhao, Ming, Zhong

“…The initialization of neural networks with random weights (NNRW) has a significant impact on model performance. However, there is no suitable way to solve this…”
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Eggplant Yield Prediction Utilizing 130 Locally Collected Genotypes and Machine Learning Model by Islam, Arfanul, Islam Shanto, Mohammad Naimul, Mahabub Rabby, Md. Sorowar, Sikder, Arif Rahman, Sayem Uddin, Md, Arefin, Muhammed Nazmul, Patwary, Muhammed J. A.

“…Accurate crop yield prediction has long been a challenge for the agricultural community, with significant consequences for food security, farmer livelihoods,…”
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Crop Yield Prediction: A Fusion of IoT and Machine Learning for Precision Agriculture by Islam, Arfanul, Ifty, Rashedul Arefin, Huraira Saim, Mohammad Abu, Al Mahin, Junaid, Fahim Nizamee, Md, Delowar, Khaled Eabne, Patwary, Muhammed J. A.

“…The countries of the Indian subcontinent are indeed very reliant on agriculture for their daily necessities. Among that country, the majority of agricultural…”
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MFF: Multi-modal feature fusion for zero-shot learning by Cao, Weipeng, Wu, Yuhao, Huang, Chengchao, Patwary, Muhammed J.A., Wang, Xizhao

“…•A novel Multi-Modal Feature Fusion algorithm (MFF) is proposed to alleviate the domain shift problem of Zero-Shot Learning (ZSL), which uses multi-modal…”
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Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning by Patwary, Muhammed J.A., Wang, Xi-Zhao

“…Semi-supervised learning can be described from different perspectives, which plays a crucial role in the study of machine learning. In this study, a new aspect…”
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