Objects recognition from traffic video data using improved 2D convolutional stochastic configuration networks by Qinxia Wang, Yue Qiu, Weiqiang Qu, Dianhui Wang

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Reactive Power Optimization of a Distribution Network Based on Graph Security Reinforcement Learning by Xu Zhang, Xiaolin Gui, Pei Sun, Xing Li, Yuan Zhang, Xiaoyu Wang, Chaoliang Dang, Xinghua Liu

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Enhanced cognitive control following neurofeedback therapy in chronic treatment-resistant PTSD among refugees: a feasibility study by Mirjana Askovic, Mirjana Askovic, Mirjana Askovic, Sejla Murdoch, Sejla Murdoch, René Mayer-Pelinski, René Mayer-Pelinski, Anna J. Watters, James Elhindi, Jorge Aroche, Juri D. Kropotov, Anthony W.F. Harris, Anthony W.F. Harris

“…BackgroundPost-traumatic stress disorder (PTSD) is a debilitating condition affecting 3.9% of the global population, with refugee populations experiencing particularly high prevalence rates (23–42%). Cognitive control deficits are a core feature of PTSD and a significant factor in treatment resistance, which affects 25–60% of cases.MethodsThis study examined the effects of neurofeedback therapy (NFT) on PTSD symptoms and cognitive control in forty-seven refugees with chronic treatment-resistant PTSD. …”
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An Improved Segformer for Semantic Segmentation of UAV-Based Mine Restoration Scenes by Feng Wang, Lizhuo Zhang, Tao Jiang, Zhuqi Li, Wangyu Wu, Yingchun Kuang

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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

“…Abstract Environmental perception is one of the key technologies to realize autonomous vehicles. The fault diagnosis process involves identifying the fault that occurred or the cause of the out-of-control condition. …”
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Working memory in Parkinson's disease patients: clinical features and response to levodopa Memória de trabalho em pacientes com doença de Parkinson: características clínicas e resp... by Rogério Beato, Richard Levy, Bernard Pillon, Christine Vidal, Sophie Tezenas du Montcel, Bernard Deweer, Anne-Marie Bonnet, Jean-Luc Houeto, Bruno Dubois, Francisco Cardoso

“…OBJECTIVE: To evaluate the clinical features of the working memory (WM) in Parkinson's disease (PD) patients and to test the effect of levodopa on WM. …”
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Freezing Damage Control of Railway Subgrade Miniature Shields in Cold Climatic Regions: Construction Technology Optimization via Numerical Simulation by Caolin Qing, Shaolong Jie, Zurun Yue, Liwei Wang, Bingcheng Wang

“…Microshield structure replacement technology is commonly used to control the freezing damage of railway roadbeds, featuring high efficiency and easy operation. …”
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SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques by Baixue Qiao, Baixue Qiao, Baixue Qiao, Wentao Gao, Xudong Zhang, Xudong Zhang, Min Du, Min Du, Shuda Wang, Shuda Wang, Xuanrui Liu, Xuanrui Liu, Shaozi Pang, Shaozi Pang, Chunxue Yang, Jiang Wang, Jiang Wang, Yuming Zhao, Linan Xie, Linan Xie

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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…The platform of IoT uses a cloud service as a backend for processing information and maintaining remote control. …”
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A Nondestructive Detection Method for the Muti-Quality Attributes of Oats Using Near-Infrared Spectroscopy by Linglei Li, Long Li, Guoyuan Gou, Lang Jia, Yonghu Zhang, Xiaogang Shen, Ruge Cao, Lili Wang

“…Eight preprocessing methods (SNV, MSC, Nor, DE, FD, SD, BC, SS) were employed to process the original spectra. Subsequently, the optimal PLS model was obtained by integrating feature wavelength selection algorithms (CARS, SPA, UVE, LAR). …”
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Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

“…<p>Machine learning technique usage for printing quality control is yet to be adopted in most printing press in Nigeria. …”
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Underwater image enhancement via multiscale disentanglement strategy by Jiaquan Yan, Hao Hu, Yijian Wang, Muhammad Wasim Nawaz, Naveed Ur Rehman Junejo, Ente Guo, Huibin Feng

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Complex biochemical characteristics of broccoli and cauliflower by D. A. Fateev, A. E. Solovyeva, T. V. Shelenga, A. M. Artemyeva

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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

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EARLY HISTOPATHOLOGICAL COMPARISON OF SINGLE VERSUS DOUBLE-LAYER CLOSURE OF UTERINE INCISION DURING CESAREAN: A CONTROLLED STUDY IN RATS by Merve Civelek, Selim Büyükkurt, Mehmet Bertan Yılmaz, Kıvılcım Eren Erdoğan, Hale Öksüz, Çağrı Avcı, Gülşah Seydaoğlu

“…The mean thickness of the endometrium and myometrium of the intervention groups with histopathological features and controls were compared.Result: In SLL and DLU groups, the endometrium (276.6±123.1vs. 258.4±125.9 μm; p=0.748) and myometrium (531.7±189.2 vs. 505.9±182.1 μm; p=0.612) in scarred areas were similar. …”
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Enhancing weld quality of novel robotic-arm arc welding: Vision-based monitoring, real-time control seam tracking by Aman Sharma, Rishabh Chaturvedi, Kamal Sharma, Saad Abrahim Binhowimal, Jayant Giri, T. Sathish

“…Experimentation is carried out to ensure the quality and reliability of various traditional welding methods and to evaluate the effectiveness of an established seam-tracking process. The results indicate that seam tracking is accurate for most welding processes. …”
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Introducing a Novel Paper Point Method for Isolated Apical Sampling—The Controlled Apical Sampling Device: A Methodological Study by Christoph Matthias Schoppmeier, Gustav Leo Classen, Silvia Contini, Paul Rebmann, David Brendlen, Michael Jochen Wicht, Anna Greta Barbe

“…<b>Objectives</b>: To introduce a novel method for apical lesion sampling using a protected paper point device and to evaluate its effectiveness and robustness during the sampling process in vitro. <b>Methods</b>: A prototype for apical sample collection was developed as an adaptation of the Micro-Apical Placement System—the device features a highly tapered screw head with a thin, hollow, stainless-steel tube and an internal wire piston. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine by Xuchao Huang, Enmao Wang, Gang Wang, Jiuyuan Fan

“…Eventually, a neutral KXL-I absorbent was developed, and the process of preinjecting absorbent and spraying absorbent was designed. …”
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Experimental and Numerical Investigation on the Influence of the Rate of Injection (Roi) on Engine Performance for B100 Fuel Control Strategy in Diesel Engines by Moïse Ligan Noukpo, Claude Valery Ngayihi Abbe, Joseph Nkongho Anyi, Dieudonné Essola, Cyrille Mezoue, Ruben Mouangue, Robert Nzengwa

“…Although the use of biodiesel has proven its efficiency in reducing emissions, it remains a problem to maintain the engine’s efficiency when shifting to biodiesel, especially due to its injection and atomization properties; most of the recent research focused on improving biodiesel fuel quality by blending it with traditional diesel fuel, but few works can be found on the regulation or control of diesel engine process when shifting to 100% biodiesel fuel (B100). …”
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