Leveraging deep learning for robust EEG analysis in mental health monitoring by Zixiang Liu, Juan Zhao

“…Despite the potential of these approaches, they often fall short in capturing the intricate spatiotemporal relationships within EEG data, leading to lower classification accuracy and poor adaptability across various populations and mental health scenarios.MethodsTo overcome these limitations, we introduce the EEG Mind-Transformer, an innovative deep learning architecture composed of a Dynamic Temporal Graph Attention Mechanism (DT-GAM), a Hierarchical Graph Representation and Analysis (HGRA) module, and a Spatial-Temporal Fusion Module (STFM). …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“… In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. …”
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Deep Learning Framework for Advanced De-Identification of Protected Health Information by Ahmad Aloqaily, Emad E. Abdallah, Rahaf Al-Zyoud, Esraa Abu Elsoud, Malak Al-Hassan, Alaa E. Abdallah

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A Scoping Review of Literature on Deep Learning Techniques for Face Recognition by Andisani Nemavhola, Serestina Viriri, Colin Chibaya

“…Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). …”
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Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET by Muhammad Asim Saleem, Zhou Shijie, Muhammad Umer Sarwar, Tanveer Ahmad, Amarah Maqbool, Casper Shikali Shivachi, Maham Tariq

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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…This paper discusses how to improve the accuracy of navigation for home service robot based on the deep learning and machine learning. First, the crawling programing is applied to collect enough images of fridge and washing machine on the web; a deep learning framework is proposed that can distinguish fridge and washing machine more accurately. …”
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PLANTNET: A DEEP LEARNING MODEL FOR EARLY DETECTION OF PLANT DISEASES by J Lenin, S Muthumarilakshmi, V S Prabhu

“…This paper presents a deep learning model, PlantNET, for early identification of plant leaf infections based on Convolutional Neural Networks (CNNs) trained on a large collection of leaf images in the PlantVillage database, including both healthy and infected samples from several crops. …”
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Psychological Motivation of Athletes’ Physical Training Based on Deep Learning Model by Yining Yang

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Research and Application of 3D Clothing Design Based on Deep Learning by Chunnan Cao

“…In order to fully explore the multi-scale features of 3D clothing design, at the same time, so as to realize the extraction of the clothing itself and the overall characteristics of the clothing, a research and application of 3D clothing design based on deep learning is proposed. Deep learning neural network model is applied to recognize 3D human shape features, the characteristic line is obtained by the threshold judgment, feature points are obtained based on the identified feature lines, the body circumference curve is fitted, and the measurement of human body size is realized. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

Subjects: “…deep learning…”
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A computational deep learning investigation of animacy perception in the human brain by Stefanie Duyck, Andrea I. Costantino, Stefania Bracci, Hans Op de Beeck

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A Semi-supervised Deep Learning Method for Cervical Cell Classification by Siqi Zhao, Yongjun He, Jian Qin, Zixuan Wang

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DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

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Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

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Continuous User Verification in Cloud Storage Services using Deep Learning by burhan albayati

“…The best experimental result achieved an EER of 3.6% based on applying a deep learning algorithm (CNN). This result indicates and encourages the feasibility of using behavioral profiling to protect cloud users from misuse. …”
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Reading Modi Lipi: A Deep Learning Journey in Character Recognition by Kanchan Varpe, Sachin Sakhare

Subjects: “…deep learning…”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

Subjects: “…deep learning…”
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Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model by Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang, Zhengpeng Hu

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A survey on deep learning based joint source-channel coding by Tianjie MU, Xiaohui CHEN, Yiyun WANG, Lupeng MA, Dong LIU, Jing ZHOU, Wenyi ZHANG

Subjects: “…deep learning…”
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Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning by Bimal Bhattarai, Rohan Kumar Yadav, Hui-Seon Gang, Jae-Young Pyun

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