Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
Map: Towards balanced generalization of iid and ood through model-agnostic adapters
Deep learning has achieved tremendous success in recent years, but most of these
successes are built on an independent and identically distributed (IID) assumption. This …
successes are built on an independent and identically distributed (IID) assumption. This …
Distilled representation using patch-based local-to-global similarity strategy for visual place recognition
Abstract Visual Place Recognition (VPR) is important for ensuring the accuracy and
reliability of re-localization in a Visual Simultaneous Localization and Mapping (VSLAM) …
reliability of re-localization in a Visual Simultaneous Localization and Mapping (VSLAM) …
Classification of potato disease with digital image processing technique: a hybrid deep learning framework
Potatoes are among the major vegetables in agricultural regions, and it is farmed and
utilized all over the world. Potatoes are a high-protein food with several health benefits, but …
utilized all over the world. Potatoes are a high-protein food with several health benefits, but …
Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data
Recognizing fraudulent activity in the banking system is essential due to the significant risks
involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones …
involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones …
Deep Learning Based Zucchini Leaf Diseases Detection: A Commercial Agriculture Development in Bangladesh
The economic growth of Bangladesh is heavily dependent on agricultural production, but the
several diseases have significantly impeded the growth of crops. The zucchini plant is …
several diseases have significantly impeded the growth of crops. The zucchini plant is …
Automated Phrasal Verb and Key-Phrase Checking with LSTM-Based Attention Mechanism
Text prediction and classification are crucial tasks in modern Natural Language Processing
(NLP) techniques. Long short-term memory (LSTM), a type of Recurrent Neural Network …
(NLP) techniques. Long short-term memory (LSTM), a type of Recurrent Neural Network …
Unraveling Mixtures: A Novel Underdetermined Blind Source Separation Approach via Sparse Component Analysis
Y Li, J Wang, H Zhao, C Wang, Z Ma - IEEE Access, 2024 - ieeexplore.ieee.org
Underdetermined blind source separation (UBSS) is a critical technique in the field of
intelligent mechanical operation and maintenance that allows for the disentanglement of …
intelligent mechanical operation and maintenance that allows for the disentanglement of …
Recognition of tuberculosis on medical X-ray images utilizing MobileNet transfer learning
SI Hossain, SA Nipu, MR Hasan - 2023 Third International …, 2023 - ieeexplore.ieee.org
Mycobacterium Tuberculosis (M. TB) bacteria causes Tuberculosis, which leads a human to
death. The World Health Organization declared TB a highly infectious disease and reported …
death. The World Health Organization declared TB a highly infectious disease and reported …
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
Nowadays, literature review is a necessary task when trying to solve a given problem.
However, an exhaustive literature review is very time-consuming in today's vast literature …
However, an exhaustive literature review is very time-consuming in today's vast literature …