Deep-Learning-Based Mobile Application for Detecting COVID-19 by Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Tabarak Emad Hussein, Massarra Mohammed Mahdi, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

“…It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. …”
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A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

“…SFSUNet adopts the Hiera network from the visual foundation model SAM2 as its backbone and integrates the adapter module to enable efficient cross-domain knowledge transfer from natural images to S-band SAR data. …”
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A Practical Framework for Estimating Façade Opening Rates of Rural Buildings Using Real-Scene 3D Models Derived from Unmanned Aerial Vehicle Photogrammetry by Zhuangqun Niu, Ke Xi, Yifan Liao, Pengjie Tao, Tao Ke

“…Next, a modified convolutional neural network is employed to automatically extract opening areas (windows and doors) from the front-view façade images. …”
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Macroscopic brain region and network changes in a central-arterial-stiffness rat model by Taichi Goto, Yumiko Watanabe, Keigo Hikishima, Ichiro Takashima, Nobuo Kunori

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Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network by Yilin Hu, Junling Ran, Rui Qiao, Jiayang Xu, Congming Tan, Liangliang Hu, Yin Tian

“…Our objective is to investigate the neural mechanisms related to attention and explore neuroimaging biological tags that can be generalized within the attention networks. In this paper, we utilized resting-state functional magnetic resonance imaging data to examine the differential functional connectivity network between ADHD and typically developing individuals. …”
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The relationship between neuromagnetic networks and cognitive impairment in self‐limited epilepsy with centrotemporal spikes by Jing Lu, Peilin Jiang, Yingfan Wang, Minghao Li, Yinjie Zhu, Ke Hu, Xinyi Zhou, Xiaoshan Wang

“…This finding suggested that differences in the neuromagnetic network may serve as imaging markers to predict changes in cognitive function in children with SeLECTS.…”
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Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach by Farzad V. Farahani, Lukman E. Ismaila, Cristina L. Sadowsky, Haris I. Sair, Li Min Chen, Visar Belegu, James J. Pekar, Martin A. Lindquist, Ann S. Choe

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Resting-State Network Plasticity Induced by Music Therapy after Traumatic Brain Injury by Noelia Martínez-Molina, Sini-Tuuli Siponkoski, Linda Kuusela, Sari Laitinen, Milla Holma, Mirja Ahlfors, Päivi Jordan-Kilkki, Katja Ala-Kauhaluoma, Susanna Melkas, Johanna Pekkola, Antoni Rodríguez-Fornells, Matti Laine, Aarne Ylinen, Pekka Rantanen, Sanna Koskinen, Benjamin Ultan Cowley, Teppo Särkämö

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Aberrant Advanced Cognitive and Attention-Related Brain Networks in Parkinson’s Disease with Freezing of Gait by Yuting Li, Xiuhang Ruan, E. Li, Guoqin Zhang, Yanjun Liu, Yuchen Du, Zhaoxiu Wang, Shaode Yu, Ruimeng Yang, Mengyan Li, Xinhua Wei

“…Resting-state functional magnetic resonance imaging (RS-fMRI) data were collected from 55 PD patients (25 FOG+ and 30 FOG-) and 26 matched healthy controls (HC). …”
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Functional connectivity between the visual and salience networks and autistic social features at school-age by Jessica B. Girault, Tomoyuki Nishino, Muhamed Talović, Mary Beth Nebel, Margaret Reynolds, Catherine A. Burrows, Jed T. Elison, Chimei M. Lee, Abraham Z. Snyder, Mark D. Shen, Audrey M. Shen, Kelly N. Botteron, Annette M. Estes, Stephen R. Dager, Guido Gerig, Heather C. Hazlett, Natasha Marrus, Robert C. McKinstry, Juhi Pandey, Robert T. Schultz, Tanya St John, Martin A. Styner, Lonnie Zwaigenbaum, Alexandre A. Todorov, Joseph Piven, John R. Pruett, for the IBIS Network

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Cortical structural network characteristics in non-cognitive impairment end-stage renal disease by Yimin Wang, Shihua Chen, Peng Zhang, Zixuan Zhai, Zheng Chen, Zhiming Li, Zhiming Li

“…ObjectiveExplore alterations in topological features of gray matter volume (GMV) and structural networks in non-cognitive impairment end-stage renal disease (Non-CI ESRD).Materials and methodsUtilizing graph theory, we collected structural magnetic resonance imaging (sMRI) data from 38 Non-CI ESRD patients and 50 normal controls (NC). …”
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Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data by Ayesha Irfan, Yu Li, Xinhua E, Guangmin Sun

“…However, the intrinsic differences in their imaging mechanisms (e.g., SAR’s coherent scattering versus optical’s reflectance properties) pose significant challenges in achieving effective multimodal fusion for LULC analysis. …”
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A Novel System for Confidential Medical Data Storage Using Chaskey Encryption and Blockchain Technology by Aymen Mudheher Badr, Lamia Chaari Fourati, Samiha Ayed

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Media Analytics Systems in Library Activity Evaluation (on the Example of State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences (S... by G. M. Ageeva

“…The problem is the need to track media activity and user activity in social networks by means of modern technologies in order to study the media image of an organization or person formed and to assess media presence. …”
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Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models by Yinping Lu, Luyao Wang, Toshiya Murai, Jinglong Wu, Dong Liang, Zhilin Zhang

“…In this study, we utilized multimodal magnetic resonance imaging data from 41 individuals with AD, 112 individuals with mild cognitive impairment, and 102 healthy controls to explore these mechanisms. …”
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INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…We used structural geological methods for studying faults and fractures, morphostructural analysis (including interpretation of satellite images), self-potential (SP) and resistivity profiling, magnetotelluric (MT) sounding, radon emanation survey, and hydrogeological studies of water occurrences. …”
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FMI and 2D seismic integration for fractured basement reservoir assessment, Geisum area, Gulf of Suez by Yousef Hendawy, Hassan H. Elkadi, Taher Mostafa

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Effective Diabetic Retinopathy Classification With Siamese Neural Network: A Strategy for Small Dataset Challenges by Maria Tariq, Vasile Palade, Yingliang Ma

“…This poses a challenge when working with small datasets as these models need large datasets to perform well on unseen data. In this paper, we design a few-shot Siamese Neural Networks combined with pre-trained models, such as VGG16, ResNet50, and DenseNet121, to effectively differentiate between classes using small lesions in the retinal images. …”
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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

“…This method combines natural language processing and image analysis in deep learning to construct accurate user and video models, deeply explore user interests, and improve the accuracy and effectiveness of recommendation systems for user preferences. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…Therefore, this paper proposes a Complex Data Analysis for Adverse Weather Detection in Autonomous Vehicles Using Explainable Artificial Intelligence (CDAAWD-AVXAI) approach. …”
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