SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…These platforms often lack rigorous editorial scrutiny, exacerbating this problem. Although recent studies have explored multimodal fake news detection to learn shared representations of textual and visual information, they often learn discrete latent representations, merely concatenations of multimodal features. …”
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Forensic Assistance in the Investigation of Crimes against Tigers by Georgii G. Omel'yanyuk, Shamil' N. Khaziev, Viktoriya V. Gulevskaya

“…The article deals with the problem of providing forensic assistance in the investigation of crimes against tigers, and the work of international organizations and foreign forensic science institutions involved in tiger conservation. …”
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Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes by Fan Yang, Deyun Xiao

“…In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local models. …”
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Sociological Aspects of Risk in Marketing Management by Alexander Sergeyevih Korezin, Sergey Borisovih Murashov

“…In an article in the aspect of the sociology of risk, examines the problem of the risks associated with the management of marketing activities. …”
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A Ship Detector Design Based on Deep Convolutional Neural Networks for Satellite Images by Ferhat Ucar, Deniz Korkmaz

“…The dissimilarity of results, enhanced dataset requirement, intricacyof the problem domain, general use of Synthetic Aperture Radar (SAR) images andproblems on generalizability are some topics of the issues related to shiptarget detection. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…Specifically, a Multilayer Perceptron (MLP) model is used for statistical feature analysis, and Convolutional Neural Network (CNN) models are used for GloVe and CNG features. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

“…Artificial intelligence is transforming the detection of diabetic retinopathy, moving away from traditional machine learning models that rely on manually created features to deep learning methods that allow for automatic feature extraction from retinal images. …”
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Advancing e-waste classification with customizable YOLO based deep learning models by P. Akhil Rajeev, Vivek Dharewa, D. Lakshmi, G. Vishnuvarthanan, Jayant Giri, T. Sathish, Mubarak Alrashoud

“…The ‘You Only Look Once’ (YOLO) methodology underpins our research, highlighting the distinctive architectural features of each model, including the CSPDarknet53 backbone, PANet, and advanced anchor-free detection. …”
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TCAD Simulation Study of Electrical Performance of a Novel High-Purity Germanium Drift Detector by Mingyang Wang, Zheng Li, Bo Xiong, Yongguang Xiao

“…High-purity germanium (HPGe) detectors occupy a prominent position in fields such as radiation detection and aerospace because of their excellent energy resolution and wide detection range. …”
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Classification of histopathological images for oral cancer in early stages using a deep learning approach by Alsaedi Raneem Y., Alsharif Hussam J.

“…Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. …”
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Fungal Keratitis. Part 2. Diagnosis and Treatment by O. V. Shilovskikh, V. O. Ponomarev, V. L. Timofeev

“…The problem of diagnosis and treatment of fungal keratitis (FK) is very acute. …”
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Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis by Min Chai, Lei Ba

“…At present, the use of the Duffing equation to detect weak unknown signals is to select a set of fixed parameters. …”
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On the conservation of fungi by A. A. Shirokikh, I. G. Shirokikh

“…The information on the features of regional fungal diversity detection, rare and threatened species for inclusion into the Red lists of various levels as well as on determining the boundaries of fungal populations, including using barcoding methods is provided. …”
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A Crowd Counting Framework Combining with Crowd Location by Jin Zhang, Sheng Chen, Sen Tian, Wenan Gong, Guoshan Cai, Ying Wang

“…In this paper, a new framework is proposed to resolve the problem. The proposed framework includes two parts. …”
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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Focusing on the spatially constrained industrial environments and complex measurement specifications, the work reformulates Laser Radar inspection planning as a multi-constrained optimization problem challenge. Firstly, a parametric geometric modeling approach is developed to define measurement spaces for individual features, accompanied by an innovative maximal complete subgraph mining algorithm to intelligently identify shared feasible measurement regions among multiple features. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Firstly, a contrastive learning network is used to extract discriminative features from cell images to obtain more similar intra-class sample features. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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YOLOv5 garbage classification method with GhostNet by Li Yao, Hu Junguo, Le Yang

“…By adding an improved version of channel attention module to the network, the important channel features are strengthened and more deep-level feature information is obtained. …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…This article is devoted to the problem of accurate detection of cardiosignal QRS-complexes for early diagnosis of various diseases of human cardiovascular system. …”
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Influence of Sliding Time Window Size Selection Based on Heart Rate Variability Signal Analysis on Intelligent Monitoring of Noxious Stimulation under Anesthesia by Qiang Yin, Dai Shen, Qian Ding

“…Some researches based on medical signals have failed to provide a general understanding of this problem. This paper presents a feature extraction method for heart rate variability signals, aiming at further improving the evaluation of noxious stimulation. …”
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