Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

“…In this study, we constructed a substantially extended set of actual positive variants originating from a wide range of tumor purities and sequencing depths, as well as actual negative variants derived from sequencer-specific sequencing errors. A deep learning model named AIVariant, trained on this extended dataset, outperforms previously reported methods when tested under various tumor purities and sequencing depths, especially low tumor purity and sequencing depth.…”
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Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams by Bioinorganic Chemistry and Applications

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Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems by Xianjun Hu, Jing Wang, Chunlei Zhang, Yishuo Tong

“…To further enhance dehazing performance, the solutions of subproblems obtained in this optimization algorithm are equivalent to deep learning-based image denoising. Due to the powerful representation ability, the proposed method can accurately and robustly estimate the transmission map and latent sharp image. …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

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Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Background:** Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). …”
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Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato by Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam

“…This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

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Fault Diagnosis Method Research of Mechanical Equipment Based on Sensor Correlation Analysis and Deep Learning by Tangbo Bai, Jianwei Yang, Lixiang Duan, Yanxue Wang

“…Meanwhile, a convolutional neural network-based deep learning method is developed to process the matrix and to discover the relationship between results and equipment states for fault diagnosis. …”
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Real-Time Forestry Pest Detection Method Based on Enhanced Feature Fusion with Deep Learning by Rui Li, Tong Liu, Yalu Ren

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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. …”
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Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment by Mimouna Abdullah Alkhonaini, Manal Abdullah Alohali, Mohammed Aljebreen, Majdy M. Eltahir, Meshari H. Alanazi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

“…This paper projects a novel sandpiper optimizer with hybrid deep learning-based intrusion detection (SPOHDL-ID) from the BC-assisted IoT platform. …”
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Application of Visual Guidance Design of Tourist City Combined with Deep Learning Computer Visual Symbols by Jiaying Cai, Kai Liu

“…In recent years, computer vision has received rapid attention and development, and it also represents the most cutting-edge research direction of deep learning. With the rapid development of today’s world economy, the arrival of the information age marked by the network has broken the boundaries of time and space in the sense of physics, and the social form in which the entire human being lives is more and more approaching a small “global village.” …”
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Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning by Binay Kumar Pandey, Digvijay Pandey, S. K. Sahani

“…Next, images of the sewerage lines captured by the UAV are analyzed using speed‐up robust features (SURF) and deep learning to identify different types of defects. …”
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Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning by Wenxia Dai, Qinqing Kang

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Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation by Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, Md. Motaharul Islam

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