A Novel Opportunistic Buffer-Aided Relaying Scheme for Mitigating the Challenges of Single-Relay Energy Harvesting Systems by Rania Minkara, Chadi Abou-Rjeily

“…A Markov chain analysis is performed, where the state transition probabilities are calculated and used to determine the analytical expressions of the outage probability (OP) and average packet delay (APD). …”
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On-Site Investigation and Diagnosis of Hazardous Street Section in Erbil Street Network by Abdulhakim Othman Salih kozapanky

“…By addressing these significant factors with targeted measures, future accidents can be reduced.       Data analysis was conducted focusing on micro-level factors such as traffic characteristics, road user behavior, collision types, road and geometric features, street furniture, and environmental conditions.       …”
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Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

“…Analysis reveals significant performance improvements resulting from these GAN applications: data augmentation methods consistently boost detection metrics such as mAP and F1-score on scarce datasets, occlusion handling techniques successfully reconstruct hidden features with high PSNR and SSIM values, and small object detection techniques increase detection accuracy by up to 10% Average Precision in some studies. …”
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Optimizing urban transportation network reliability by analyzing road traffic accidents by Isaac Pemberthy, Eduard Gañan-Cardenas

“…This study highlights the value of combining RTA analysis and network reliability perspectives for data-driven strategic transportation planning. …”
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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

“…The study introduces a deep learning-based network specifically designed for skin lesion detection to enhance data in the melanoma dataset. …”
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Governance and Dynamic Efficiency with Network Structure in the Brazilian Natural Gas Utilities by Francisco Roldineli Varela Marques, Alexandro Barbosa, Pedro Simões, Kelly Cristina de Oliveira

“…The main innovative contribution of this work is the application of inter-temporal (dynamic) efficiency analysis with network structure in the first stage, in this case, the ‘Dynamic DEA (Data Envelopment Analysis) with network structure: A slacks-based–DNSBM (Dynamic Network Slacks-Based Measure)’, in which two divisional interactions <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>δ</mi></mrow><mrow><mi>o</mi><mi>k</mi></mrow><mrow><mo>∗</mo></mrow></msubsup></mrow></semantics></math></inline-formula> (technical–operational and economic–financial division) between <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>τ</mi></mrow><mrow><mi>o</mi></mrow><mrow><mi>t</mi><mo>∗</mo></mrow></msubsup></mrow></semantics></math></inline-formula> periods and divisional <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>ρ</mi></mrow><mrow><mi>o</mi><mi>k</mi></mrow><mrow><mi>t</mi><mo>∗</mo></mrow></msubsup></mrow></semantics></math></inline-formula> periods are reflected in the overall efficiency scores <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>θ</mi></mrow><mrow><mi>o</mi></mrow><mrow><mo>∗</mo></mrow></msubsup></mrow></semantics></math></inline-formula>, representing an approach not yet explored by the previous literature on the sector and subject investigated. …”
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Identification of Alzheimer’s disease brain networks based on EEG phase synchronization by Jiayi Cao, Bin Li, Xiaoou Li

“…Firstly, the acquired EEG data were preprocessed to extract the data in the α-band at 8–13 Hz; secondly, the phase lag index (PLI) and phase-locked value (PLV) were used to construct the brain functional network, and the brain functional connectivity map was visualized by brain functional connectivity analysis. …”
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Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction by Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin

“…This work extends a method for the development of Quantile Convolutional and Quantile Recurrent Neural Networks (namely Q*NN). Fleet data of 225 629 drives are clustered and balanced, simulation data from 971 simulations are augmented before they are combined for training and testing. …”
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Network of Settlements in Novosibirsk District in 1920s: Population, Structure and Development Features by A. I. Tatarnikova

“…The novelty of the study lies in the analysis of the functioning of the settlement network in the early years of Soviet power, including the typical structure of its units, the average number of peasant households in settlements of different types, and the placement of mono-ethnic settlements in the Novosibirsk district. …”
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Kolmogorov–Arnold Network in the Fault Diagnosis of Oil-Immersed Power Transformers by Thales W. Cabral, Felippe V. Gomes, Eduardo R. de Lima, José C. S. S. Filho, Luís G. P. Meloni

“…This ground-breaking implementation of KAN_Diag achieved the highest value of weighted average F₁-Score—96.8455%—ensuring the solidity of the approach in the real imbalanced data scenario. …”
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Cross-Feature Hybrid Associative Priori Network for Pulsar Candidate Screening by Wei Luo, Xiaoyao Xie, Jiatao Jiang, Linyong Zhou, Zhijun Hu

“…To enhance pulsar candidate recognition performance and improve model generalization, this paper proposes the cross-feature hybrid associative prior network (CFHAPNet). CFHAPNet incorporates a novel architecture and strategies to integrate multi-class heterogeneous feature subimages from each candidate into multi-channel data processing. …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The following tasks are solved: analysis of methods and software for image recognition; development of the search algorithm for characters in the video frame; implementation of the definition of the contour of the sign; realization of a convolutional neural network for recognition of a sign; testing of applied information technology work. …”
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Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data by Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

“…With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. …”
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An end-to-end mass spectrometry data classification model with a unified architecture by Yinchu Wang, Wei Zhang, Lin Guo, Fengyi Zhang, Zilong Liu, Xingchuang Xiong, Xiang Fang

“…To address these problems, we present MS-DREDFeaMiC, a deep neural network framework for disease diagnosis and bioanalysis via mass spectrometry data that enables end-to-end training. …”
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Cholera case trends in Eastern Africa using surveillance data, 2007-2024 by Dr Joy Ebonwu, Ms Dativa Aliddeki, Dr Judith Kose Otieno, Dr Lul Pout Riek, Ms Kyeng Mercy

“…Methods: Descriptive trend analysis of cholera case data for Comoros, Ethiopia, Kenya, Somalia and Tanzania, from 2007-2024, was performed. …”
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Breast cancer pathology image recognition based on convolutional neural network. by Weijian Fang, Shuyu Tang, Dongfang Yan, Xiangguang Dai, Wei Zhang, Jiang Xiong

“…Using the idea of ensemble learning, the image is divided into four equal parts and sixteen equal parts for data augmentation. Then, using the Inception-ResNet V2 neural network model and transfer learning technology, features are extracted from pathological images, and a three-layer fully connected neural network is constructed for feature classification. …”
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Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems by Khumara Ashraf, Zeeshan Ali, Chiranjibe Jana, Adel Fahad Alrasheedi, Nikola Ivković, Domagoj Tuličić

“…Therefore, after the analysis of the Schweizer-Sklar operational, we aim to derive the model of the Schweizer-Sklar prioritized averaging operator, Schweizer-Sklar prioritized weighted averaging operator, Schweizer-Sklar prioritized geometric operator, and Schweizer-Sklar prioritized weighted geometric operator for circular bipolar complex fuzzy sets. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…CBAM adjusts the importance of each channel and spatial location in the feature maps through operations like global average pooling, maxpooling, and small fully connected neural networks in both channel and spatial attention dimensions. …”
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Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others by Q. Si, J. Tian, V. A. Savostyanov, D. A. Lebedkin, A. V. Bocharov, A. N. Savostyanov

“…We have developed a software and hardware module, i. e. a set of related programs and procedures for their application consisting of blocks that allow for a full cycle of registration and processing of psychological and neurophysiological data. Using this module, brain electrical activity (EEG) indicators reflecting individual characteristics of recognition of information related to oneself and other people were compared between groups of 30 Chinese (14 men and 16 women, average age 23.2 ± 0.4 years) and 32 Russian (15 men, 17 women, average age 22.1 ± 0.4 years) participants. …”
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Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil by Feng Chen, Li Wang, Zhiyao Zheng, Bin Pan, Yujia Hu, Kexin Zhang

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