Cost-effectiveness analysis of deep brain stimulation for the treatment of alcohol use disorder and alcoholic liver disease by Oluwatofunmi A. Abiola, Collin M. Lehmann, Khaled Moussawi, Hawre Jalal

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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…Thus, the resulted output of the proposed rag‐ROA‐based deep RNN is employed for EEG seizure detection. The proposed rag‐ROA‐based Deep RNN showed improved results with maximal accuracy of 88.8%, maximal sensitivity of 91.9%, and maximal specificity of 89.9% than the existing methods, such as Wavelet + SVM, HWPT + RVM, MVM‐FzEN, and EWT + RF, using the TUEP dataset.…”
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Study on the evolution law of the ‘Butterfly-type’ plastic zone in the surrounding rock of deep dynamic pressure roadway by Yiwen Liang, Jianqiang Jin, Wenhua Zha, Tao Xu, Wenbo Cheng

“…The study on the evolution of the “butterfly-type” plastic zone is of great theoretical and practical significance for the development and utilisation of deep underground resources.…”
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Plasma microRNA-145-5p as a diagnostic biomarker for acute deep vein thrombosis by Christopher Antoun, Vårin Eiriksdatter Wikan, Øyvind Øverli, Thor Ueland, Gholamreza Jafari Yeganeh, Sigrid Kufaas Brækkan, Ellen Brodin, John-Bjarne Hansen

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Strength Investigation of the Silt-Based Cemented Paste Backfill Using Lab Experiments and Deep Neural Network by Chongchun Xiao, Xinmin Wang, Qiusong Chen, Feng Bin, Yihan Wang, Wei Wei

“…The cemented paste backfill (CPB) technology has been successfully used for the recycling of mine tailings all around the world. …”
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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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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning. by Yan Feng Zhao, Jun Kit Chaw, Mei Choo Ang, Yiqi Tew, Xiao Yang Shi, Lin Liu, Xiang Cheng

“…Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. …”
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Analyzing Transit Systems Using General Transit Feed Specification (GTFS) by Generating Spatiotemporal Transit Networks by Diyi Liu, Jing Guo, Yangsong Gu, Meredith King, Lee D. Han, Candace Brakewood

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A Deep Transfer Learning Method for Bearing Fault Diagnosis Based on Domain Separation and Adversarial Learning by Shoubing Xiang, Jiangquan Zhang, Hongli Gao, Dalei Shi, Liang Chen

“…Current studies on intelligent bearing fault diagnosis based on transfer learning have been fruitful. However, these methods mainly focus on transfer fault diagnosis of bearings under different working conditions. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. …”
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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

“…IEEE Access…”
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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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Reversible Confluent Deep White Matter Abnormalities: A New Variant of Posterior Reversible Encephalopathy Syndrome by Yuebing Li, John Castaldo, Joshua Bemporad, Hussam A. Yacoub

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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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Effects of Pit-Bottom-Soil Reinforcement on the Deformation of Subway Deep Foundation Pits Based on an Improved Model by Yan Wang, Fei Zhang

“…Reinforcement of pit bottom soil has been utilized in subway deep foundation-pit engineering in soft-soil areas. …”
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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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A Multiscale Structural Analysis of Soft and Hard Coal Deposits in Deep High-Gas Coal Seams by Anying Yuan, Guangsheng Fu, Junling Hou

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Dimensions of superiority: How deep reinforcement learning excels in urban drainage system real-time control by Zhenyu Huang, Yiming Wang, Xin Dong

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

“…Pada penelitian ini dirancang empat model deep convolutional neural network dengan prinsip Occam’s razor melalui pengaturan hyperparameter pada aspek struktur algoritma berupa jumah layer dan aspek optimasi berupa tipe optimizer. …”
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KL-optimal experimental design for discriminating between two growth models applied to a beef farm by Santiago Campos-Barreiro, Jesús López-Fidalgo

“…The paper is concerned with a problem of finding an optimal experimental design for discriminating between two competing mass growth models applied to a beef farm. T-optimality was first introduced for discrimination between models but in this paper, KL-optimality based on the Kullback-Leibler distance is used to deal with correlated obsevations since, in this case, observations on a particular animal are not independent.…”
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