Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“… Appropriate and precise diagnosis of brain diseases is crucial as many forms of Alzheimer’s disease display similar indications in their initial stages. Most automatic detection or classification systems based on deep learning present confidentiality concerns due to their use of integrated computing and local storage data requirements for training. …”
Get full text

Detection of Fake News Using Deep Learning and Machine Learning by Gabriela CHIRIAC, Ada Maria CATINA

Subjects: Get full text

KERATOCONUS DETECTION USING DEEP LEARNING by Younis Abbosh, Shatha Ali, Dia Ali, Iman Jasim

Get full text

Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…Authors of this article have learned the necessity of platform upgrade from a previous AUV design project, and would like to share the experience of one task extension in the area of fish detection. …”
Get full text

Deep Learning for Cardiovascular Disease Detection by Shivan H. Hussein, Najdavan A. Kako

Get full text

Deep learning object detection-based early detection of lung cancer by Kuo-Yang Huang, Kuo-Yang Huang, Kuo-Yang Huang, Che-Liang Chung, Che-Liang Chung, Che-Liang Chung, Jia-Lang Xu

Get full text

A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…This article presents a novel review of Machine Learning (ML) and Deep Learning (DL) techniques for PD detection and progression monitoring, offering new perspectives by integrating diverse data sources. …”
Get full text

Deep Learning with Transfer Learning for Automated Glaucoma Detection in Fundus Images by Ruxandra-Mădălina FLORESCU, Dragoş-Ovidiu ALEXANDRU, Mircea-Sebastian ŞERBĂNESCU

“… Glaucoma is a leading cause of irreversible blindness, making early and accurate detection essential for effective management. This study investigates the use of deep learning for automated glaucoma diagnosis using fundus images from the JustRAIGS challenge dataset, which includes 101442 gradable images spanning both referable and non-referable glaucomatous cases. …”
Get full text

Anomaly Detection in Data Streams Using Machine Learning and Deep Learning by Muhammad Amin Daneshwar

Subjects: “…Deep learning…”
Get full text

IoT intrusion detection system based on machine learning and deep learning by karrar Majid Jasim, Joolan Rokan Nayef

Subjects: Get full text

Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…This study aims to identify the best deep learning and machine learning models to identify the unethical behavior patterns of learners using distance education exam data of an educational institution. …”
Get full text

A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection by Lin Li, Koshin Ono, Chun-Kit Ngan

“…For insurance companies, it is very time-consuming and expensive to process claims for detecting and classifying vehicle damages; thus, deep learning techniques have been used to automate this process to reduce the time and the cost. …”
Get full text

Tuberculosis detection using few shot learning by Kamran Riasat, Akhtar Jamil, Shaha Al-Otaibi, Sania Zeb, Saima Riasat, Shamsa Kanwal

“…Traditional Deep Learning methodologies have shown good results for TB detection; however, model’s huge number of parameters, size, and compute requirements making it unsuitable for its practical deployment. …”
Get full text

Detection of microfibres in wastewater sludge with deep learning by Félix Martí-Pérez, Ana Domínguez-Rodríquez, Carlos Monserrat, Cèsar Ferri, María-José Luján-Facundo, Eva Ferrer-Polonio, Amparo Bes-Piá, José-Antonio Mendoza-Roca

“…This study presents a novel approach utilising advanced deep learning techniques to enhance the detection of MFi in sewage sludge samples using two different filtration support (fibreglass and cellulose acetate). …”
Get full text

Intrusion detection method based on machine learning by TIAN Xin-guang1, GAO Li-zhi2, ZHANG Er-yang1

Subjects: Get full text

Deep Learning-Based Object Detection Algorithms by Yao Linxi

“…With the development of deep learning, Object detection algorithms have seen significant enhancements in both speed and accuracy, leading to extensive adoption across various domains, including autonomous driving, drone surveillance, and security monitoring. …”
Get full text

Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

“…In this research, a method was developed to detect Parkinson's disease using machine learning,  learning transfer techniques were relied upon to extract features from handwriting images that we obtained from the NewHandPD database, and then these images were classified into two categories (Parkinson's disease and non-Parkinson's disease) by KNN classification algorithm, for being accurate and fast in calculations, the results  of the  training of the INCEPTION-V4 model showed  a detection accuracy of up to 93%, as well as an area under the curve of 0.89 with a loss of only 0.2 , where this model can be relied on to diagnose and detect Parkinson's disease with high accuracy. …”
Get full text

Deep Learning for Retinal Disease Detection Surveys by attallh salih, Manar Kashmoola

Subjects: “…machine learning…”
Get full text

Transition state structure detection with machine learningś by Yitao Si, Yiding Ma, Tao Yu, Yifan Wu, Yingzhe Liu, Weipeng Lai, Zhixiang Zhang, Jinwen Shi, Liejin Guo, Oleg V. Prezhdo, Maochang Liu

Get full text

Machine learning fusion for glioma tumor detection by C. Gunasundari, K. Selva Bhuvaneswari

Subjects: Get full text