Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications by Rowan L. Converse, Christopher D. Lippitt, Steven E. Sesnie, Grant M. Harris, Matthew J. Butler, David R. Stewart

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Detecting glacial lake water quality indicators from RGB surveillance images via deep learning by Zijian Lu, Xueyan Zhu, Jinfeng Li, Mingyue Li, Jie Wang, Wenqiang Wang, Yili Zheng, Qianggong Zhang

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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

Subjects: “…Deep learning…”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

Subjects: “…deep learning…”
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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

Subjects: “…Deep learning…”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…This paper presents a novel Deep Learning (DL)-based text summarization approach incorporating the following phases: pre-processing, feature extraction, vectorization, and summarization using a hybrid Cat Swarm Optimization (CSO) and Harris Hawk Optimization (HHO) algorithm. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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4D Radar Imaging and Camera Fusion for Road Crossing Detection and Classification Using Deep Learning by Liyaana Shahirah Wan Abd Aziz, Farah Nadia Mohd Isa, Faridah Abd Rahman, Arvind Hari Narayanan, Ahmad Reza Alghooneh, George Shaker

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Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning by Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby

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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer by Shengli SHAO, Jiheng WANG, Shanting LIU

Subjects: “…deep learning…”
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MRI to digital medicine diagnosis: integrating deep learning into clinical decision-making for lumbar degenerative diseases by Baoyi Ke, Wenyu Ma, Junbo Xuan, Junbo Xuan, Yinghao Liang, Liguang Zhou, Wenyong Jiang, Jing Lin, Guixiang Li

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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Automatic Quantitative Analysis of Internal Quantum Efficiency Measurements of GaAs Solar Cells Using Deep Learning by Zubair Abdullah‐Vetter, Brendan Wright, Tien‐Chun Wu, Ali Shakiba, Ziv Hameiri

“…Therefore, this study proposes using a deep learning method to automatically predict multiple key parameters from IQE measurements of gallium arsenide cells. …”
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A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images by Yubiao Yue, Xinyu Zeng, Huanjie Lin, Jialong Xu, Fan Zhang, KeLin Zhou, Li Li, Zhenzhang Li

“…Here, we retrospectively analysed 39,340 nasal endoscopic white-light images from three high-incidence NPC centres, utilising eight advanced deep learning models to develop an Internet-enabled smartphone application, “Nose-Keeper”, that can be used for early detection of NPC and five prevalent nasal diseases and assessment of healthy individuals. …”
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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review by Aan Chu, David Squirrell, Andelka M. Phillips, Ehsan Vaghefi

“…It is concluded that deep learning algorithms in the context of diabetic retinopathy screening have reported impressive results. …”
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Product Color Design Concept that Considers Human Emotion Perception: Based on Deep Learning and Cluster Analysis by Anqi Gao, Yantao Zhong

“…To address this, this research proposes a product color design concept that considers human emotion perception based on deep learning and cluster analysis. First, for a given product, a color style is chosen for rerendering, which is an emotional color image. …”
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A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification by Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li

“…Abstract Deep-learning models have shown promise in differentiating between benign and malignant lesions. …”
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Study on Long-Term Temperature Variation Characteristics of Concrete Bridge Tower Cracks Based on Deep Learning by Zhaoxu Lv, Youliang Ding, Yan Zhang

“…This research aims to develop a deep learning model utilizing Long Short-Term Memory (LSTM) neural networks to predict crack depth based on the thermal variations experienced by the main tower. …”
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Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson’s Disease Using Deep Learning Methods by Cristian David Ríos-Urrego, Daniel Escobar-Grisales, Juan Rafael Orozco-Arroyave

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