Comparison and Investigation of AI-Based Approaches for Cyberattack Detection in Cyber-Physical Systems by Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Ayed Alwadain, Aminu Aminu Muazu, Abubakar Bala

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World informatization in conditions of international globalization: Factors of influence by V. Babenko, I. Perevozova, O. Mandych, T. Kvyatko, O. Maliy, I. Mykolenko

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SwinLightGAN a study of low-light image enhancement algorithms using depth residuals and transformer techniques by Min He, Rugang Wang, Mingyang Zhang, Feiyang Lv, Yuanyuan Wang, Feng Zhou, Xuesheng Bian

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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

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Improved stereo matching network based on dense multi-scale feature guided cost aggregation by ZHANG Bo, ZHANG Meiling, LI Xue, ZHU Lei

“…Compared with existing stereo matching algorithms such as GWCNet and CPOP-Net, the proposed algorithm performs well in the ill-posed regions.…”
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Segmentation detection method in tree-shaded environment for road cracks collected by inspection vehicle on WFU-Unet by Qiong Zhang, Shilin Huang, Haomiao Wang, Zhonghang Ji, Shuang Zheng, Yunqing Liu

“…First, the WCM module, constructed with wavelet transform, ConvNext, and MobileNet, reduces shadow interference, enabling the network to distinguish between cracks and tree shadows. …”
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LEO navigation observables extraction using CLOCFC network by Zhisen Wang, Hu Lu, Zhiang Bian

“…The results show that CLOCFC, as a lightweight model, demonstrates a significantly faster convergence rate and higher accuracy in navigation observables extraction compared to other models (ResNet, Swin Transformer, and Clo Transformer). In CLOCFC, we introduce the CFC module, a kind of Liquid Neural Network, to enhance the information acquisition capability through the spatiotemporal information in the data sequence. …”
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Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN by ZHANG Tao, ZHANG Xiao-li, REN Yan

“…Aiming at the problem of low accuracy in monocular vision image depth estimation, a monocular image depth estimation method based on Transformer and convolutional neural network is proposed. First, ResNet-50 is used as the backbone network of the encoder-decoder network to extract image features. …”
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Research on lightweight non-intrusive load disaggregation model for edge computing by YE Canshen, LUO Dehan, HE Jiafeng

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WEAK FAULT FEATURE EXTRACTION OF ROLLING BEARING BASED ON PARAMETER OPTIMIZED MOMEDA AND CEEMDAN by HAN XueFei, SHI Zhan, HUA YunSong

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AI-Driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology by Sami Naouali, Oussama El Othmani

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Comparison of Geometrically Shaped and Probabilistically Shaped Bit-Loading DMT for Optical Interconnect System by Junjie Ding, Jiao Zhang, Jianjun Yu

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Innovative Technologies and Provision of Library Services in Bishop Barham Library. by Olila, Jonathan

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Infant cry classification using an efficient graph structure and attention-based model by Qiao X., Jiao S., Li H.

“…These speech features are then combined across multiple dimensions to better utilize the information in the cries. Additionally, in order to better classify the efficient graph structure, a local-to-global convolutional neural network (AlgNet) based on convolutional neural networks and attention mechanisms is proposed. …”
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Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression by Britt Kahrger, Sören Möller, Clemens Jonscher, Tanja Grießmann, Raimund Rolfes

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DFDA-AD: An Approach with Dual Feature Extraction Architecture and Dual Attention Mechanism for Image Anomaly Detection by Babak Masoudi

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Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention by Long Duongthang

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PERFORMANCE OF LARGE AGRICULTURAL COMPANIES IN ROMANIAN AGRICULTURE by Paula STOICEA, Elena TOMA, Livia DAVID, Andreea-Raluca CONSTANTIN, Andra BUDILEANU

“…The details of these accumulation balances are shown in the profit and loss statement by: ‘trade margin’, ‘production of the financial year, ‘value added’, ‘gross operating surplus’, ‘operating profit’, ‘financial result’, ‘gross result for the year’ and ‘net result for the year’. Thus, the interim management statements (IMS) as successive fractions in establishing the final result, are determined in cascade, starting from the most comprehensive, i.e., the trade margin and the production of the financial year, and ending with the net result for the year, which summarises the process of the profit or loss from an unprofitable activity, also specifying how the managerial activity of the company was carried out at each level of accumulation.…”
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FDTransUnet: An aluminum surface defect segmentation model based on feature differentiation. by Mingzhu Tang, Wencheng Wang

“…Second, the Transformer architecture is added by improving the U-net network, and the improved network combines the global self-attention mechanism of the Transformer and the hierarchical structure of the U-net, which can effectively extract the local and global information in the defect sample. …”
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Impact of community‑based health insurance on utilisation of preventive health services in rural Uganda: a propensity score matching approach by Emmanuel, Nshakira-Rukundo, Essa, Mussa Chanie, Nathan, Nshakira, Joachim, von Braun

“…This paper surveys households in rural south-western Uganda, which are geographically serviced by a voluntary Community-based health insurance scheme, and applied propensity score matching to assess the effect of enrolment on using mosquito nets and deworming under-five children. We find that enrolment in the scheme increased the probability of using a mosquito net by 26% and deworming by 18%. …”
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