PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

“…Our analysis offers a comprehensive and extensive characterization of CAN network traffic, examining specifically inter-frame arrival times and patterns in data bytes. We proceeded to test these features by designing a simple anomaly-based IDS that employs a multiclass Decision Tree classifier. …”
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An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet by Armaano Ajay, S. Sandosh, Aryan Saji, Harsh Agarwal

“…These blocks improve multi-scale feature extraction and adaptively capture complex patterns from the weed images. …”
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MEDIA IMAGE OF NON-CENTRAL TERRITORY IN RUSSIAN MEDIA by Nikolay L. Shamne, Marina V. Milovanova

“…Certain patterns in the named features representation within the framework of hyponymous media images are revealed, which in general enables determination of a hyperonymous media image structure. …”
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Growth Performance, Feed Intake and vegf121 Gene Expression Feature of Dwarf Cyprinus carpio rubrofuscus by Shuozhen CHEN, Dongmei MA, Zaixuan ZHONG, Jiajia FAN, Huaping ZHU, Huanhuan SU

“…To explore the molecular mechanism of dwarf fish formation in the cultured population of Cyprinus carpio rubrofuscus and the functions of vascular endothelial growth factor (VEGF) in fish growth, the features of growth trait, feed intake, and feed utilization of dwarf fish were detected and analyzed. …”
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TECTONIC AND EROSION FEATURES, AND THEIR INFLUENCE ON ZONAL DISTRIBUTION OF THE UPPER TRIASSIC AND THE LOWER CRETACEOUS SEDIMENTS IN THE EUPHRATES GRABEN AREA, SYRIA by I. Yousef, V. P. Morozov, Mohammad El Kadi, Abdullah Alaa

“…We have investigated the tectonic and erosion features of the Upper Triassic (Mulussa F Formation) and Lower Cretaceous (Rutbah Formation) sediments in the Euphrates graben area and analysed their influence on changes in the thickness and zonal distribution patterns of these sediments. …”
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Antioxidant and Physico-Structural Insights of Walnut (<i>Juglans regia</i>) and Hazelnut (<i>Corylus avellana</i> L.) Shells: Implications for Southern Chile By-Product Valorizati... by Carlos Manterola-Barroso, Karina Godoy Sanchez, Erick Scheuermann, Daniela Padilla-Contreras, Filis Morina, Cristian Meriño-Gergichevich

“…In addition, the morphological and structural features of both nutshells examined by scavenging electron microscopy (VP-SEM) and confocal scavenging laser microscopy (CSLM) revealed differential tissue distribution and accumulation patterns of both cellulose and lignin. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Abnormal gait recognition, which aims to detect and identify deviations from normal walking patterns indicative of various health conditions or impairments, holds promising applications in healthcare and many other related fields. …”
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Clinical Characteristics, Risk Factors, and Predictors of Nonobese Fatty Liver Disease: A Cross-Sectional Study by Zhang X, Wang S, Xu S, Min R, Ling Y, Sun S, Gong R

“…FT3/FT4 may be a predictor of non-obese fatty liver disease.Keywords: Fatty liver, Non-obese type, Risk Factors, Forecasting, Clinical Features…”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Firstly, the Tamura texture feature algorithm was combined with the local binary pattern algorithm to extract the feature values of the defect images, and form feature vectors. …”
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A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…Then, we input local textural features, multilayer convolutional features, and spectral features obtained from the original image into the radial basis function to obtain three kernel functions. …”
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Cinical, morphological and functional comparisons in acute period of ischemic hemispheric stroke by A. A. Kuznetsov

“…Results and discussion: EEG-pattern of left-side stroke comparing with right one was characterized with increasing of level of theta-1-subrange spectral rating in intact hemisphere by 12% (р<0,05). …”
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The Use of Cognition by Amphibians Confronting Environmental Change: Examples from the Behavioral Ecology of Crawfish Frogs (<i>Rana areolata</i>) by Michael J. Lannoo, Rochelle M. Stiles

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Age-Related Features of Reactive Catecholamine Shifts in the Spinal Cord in Acute Somatic Pain: Experimental Study by V. G. Ovsyannikov, A. V. Kapliyev

“…Objective: to study the age-related features of an adrenergic response of the central nervous system to acute somatic pain (ASP).Subjects and methods: The spinal cord (SC) levels of adrenaline (A), noradrenaline (NA), and dopamine (DA) were studied in albino male rats of five age groups: 1) neonatal (2—4-day) rats; 2) 17—18-day rats that began to see; 3) monthly rats; 4) sexually mature (3—4 month) ones; and 5) old ones aged over 2 years. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…This paper presents a robust zero-watermarking technique for color images, combining Local Binary Patterns (LBP) with deep features extracted from the CONV5-4 layer of the VGG19 neural network to overcome these limitations. …”
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A Rare Case of Undifferentiated Carcinoma of the Colon with Rhabdoid Features: A Case Report and Review of the Literature by E. Moussaly, J. P. Atallah

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Atypical Features Resembling Poorly Differentiated Thyroid Carcinoma Presenting Entirely within a Follicular Adenoma by Daniel Ching, Connull Leslie

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Bilateral Shallow Anterior Chamber And Transient Myopia As A Presenting Feature Of Vogt Koyanagi Harada Syndrome by Rahul Kumar Sharma, Abhishek Dagar, Vivek Kumar

“…Exudative retinal detachment on fundus examination along with optical coherence tomography (OCT) features and fundus fluorescein angiogram (FFA) pattern confirmed our diagnosis as incomplete VKH. …”
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A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

“…Conclusions Our findings suggest that the Ki67 index is an effective complementation in predicting the prognosis of GISTs, and CT features including size, contour, and margin of the tumor, presence of necrosis or cystic degeneration, and pattern of enhancement provide evidence to support the importance of preoperative assessment.…”
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Extracting of Fault Features for Rotating Machinery of High-speed Train Based on EEMD Energy Entropy-LPP by Chen ZHANG, Tao FANG, Kaiqi YAN

“…By combining EEMD, energy entropy and LPP, the vibration signal was subjected to EEMD adaptive decomposition, and the energy entropy of the high-frequency IMF component was calculated to obtain a high-dimensional feature vector set to complete the preliminary feature extraction; then the high-dimensional feature vector was converted by the LPP algorithm set projection to low-dimensional space to further extract features to form a low-dimensional sample set, which reduced the complexity of feature data while preserving the local geometric information of fault features, while improved the classification performance of fault pattern recognition; finally, the low-dimensional sample set was input to the KNN classifier for fault recognition. …”
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