Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

“…The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks. …”
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Revisiting two thousand hinge fractures in open wedge high tibial osteotomy with a fifty years review: the oscillating saw cannot replace the traditional “ear-hand” dialogue betwee... by Bastard Claire, Haiat Guillaume, Hernigou Philippe

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Study on the Properties and Pest Control Effects of Five Common Wheat Flour Packaging Materials by HE Rui, ZHANG Feng, ZHANG Yuan-quan, CHEN Jin-shen, LV Jian-hua

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Role of Interleukin-28B in clearance of HCV in acute and chronic hepatitis patients in Kirkuk city by Muhannad Abdullah Alazzawy

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An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…The objective of the research is to develop a model for inferring the quality of perishable products using an IoT sensor dataset to monitor perishable product quality continuously. …”
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Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer by Lei Liu, Ting Zhang, Yi Wu, Qi Wang, Taichang Gao

“…The accuracy of the backscatter coefficient profiles derived from the CYY-2B ceilometer is analyzed by using the Vaisala CL51 ceilometer, MPL, forward scatter visibility instrument, and aerosol optical depth (AOD) dataset from aerosol robotic network (AERONET). Spectral conversions of the ceilometer’s and lidar’s data are performed using the Ångström exponent estimated by AERONET measurements. …”
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Comparative Evaluation of Whole Body and Hepatic Insulin Resistance Using Indices from Oral Glucose Tolerance Test in Morbidly Obese Subjects with Nonalcoholic Fatty Liver Disease by Kamran Qureshi, Ronald H. Clements, Fahad Saeed, Gary A. Abrams

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Pattern Visual Evoked Potential Changes in Diabetic Patients without Retinopathy by Ozgur Balta, Gulten Sungur, Mehmet Yakin, Nurten Unlu, Oyku Bezen Balta, Firdevs Ornek

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Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis by Andrei Agius Anastasi, Owen Falzon, Kenneth Camilleri, Malcolm Vella, Richard Muscat

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A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification by Souheyl Mallat, Emna Hkiri, Abdullah M. Albarrak, Borhen Louhichi

“…Our method demonstrates exceptional performance, achieving an accuracy of 79.44% on the BCI Competition IV 2a dataset, surpassing existing state-of-the-art techniques in using multiple CNN models. …”
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Visual, Musculoskeletal, and Balance Complaints in AMD: A Follow-Up Study by Christina Zetterlund, Hans Olof Richter, Lars-Olov Lundqvist

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Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera by Zhehao Lu, Ning Dai, Xudong Hu, Kaixin Xu, Yanhong Yuan

“…Experimental results demonstrate that this model exhibits outstanding performance on a customized logistics parcel dataset, notably enhancing the model's parameter efficiency and computational speed, thereby offering an effective solution for industrial applications in high-speed logistics supply.…”
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Hooded crows (Corvus cornix) manufacture objects relative to a mental template by Anna A. Smirnova, Leia R. Bulgakova, Maria A. Cheplakova, Sarah A. Jelbert

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Predicting and synthesizing terahertz spoof surface plasmon polariton devices with a convolutional neural network model by Vahid Najafy, Bijan Abbasi-Arand, Maryam Hesari-Shermeh

“…In addition to the speed of dataset generation, the simple framework of this network has also facilitated the training of the network in a short time. …”
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Func-Bagging: An Ensemble Learning Strategy for Improving the Performance of Heterogeneous Anomaly Detection Models by Ruinan Qiu, Yongfeng Yin, Qingran Su, Tianyi Guan

“…Experimental results show that func-bagging has an average 1.810% improvement in extreme performance compared to the base classifier, and is superior to stacking and bagging methods. It also has better dataset adaptability and interpretability than stacking and bagging. …”
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An Optimized Sanitization Approach for Minable Data Publication by Fan Yang, Xiaofeng Liao

“…Finally, the proposed SA-MDP approach is performed and verified over several datasets. The experimental results have demonstrated the effectiveness and efficiency of SA-MDP.…”
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Based on the Geometric Characteristics of Binocular Imaging for Yarn Remaining Detection by Ke Le, Yanhong Yuan

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A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma by Runhan Zhao, Zefang Li, Yanran Huang, Chuang Xiong, Chao Zhang, Hao Liang, Jingtao Xu, Xiaoji Luo

“…Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. …”
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FWA-SVM Network Intrusion Identification Technology for Network Security by Yaohui Zhang

“…The experiment outcomes denote that on the feature dense Sonar dataset, the average number of features selected by the proposed method is 24.39, a decrease of 25.51% compared to the comparison algorithm, and a classification accuracy improvement of 2.99%. …”
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CoLR: Classification-Oriented Local Representation for Image Recognition by Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhiwei Guo, Fupeng Wei

“…Then, the performance of the proposed model is evaluated on benchmark face datasets and deep object features. Specifically, the deep features of the object dataset are obtained by a well-trained convolutional neural network (CNN) with five convolutional layers and three fully connected layers on the challenging ImageNet. …”
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