Prediction Model For Students' On-Time Graduation Using Algorithm Support Vector Machine (SVM) Based  Particle Swarm Optimization (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

“…In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…Abstract Visually impaired persons face several problems in their day-to-day lives, and technological intermediaries might help them encounter their challenges. …”
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Collaborative filtering based on GNN with attribute fusion and broad attention by MingXue Liu, Min Wang, Baolei Li, Qi Zhong

“…However, existing GNN-based CF models still have two problems that affect performance improvement. First, although distinguishing between inner interaction and cross interaction, these models still aggregate all attributes indiscriminately. …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…This eliminates the need to solve technological problems of complexing heterogeneous models of dynamic transport networks, memory allocation. …”
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Linear Perturbations of the Bloch Type of Space-Periodic Magnetohydrodynamic Steady States. II. Numerical Results by Chertovskih R, Zheligovsky V

“…We consider Bloch eigenmodes of three linear stability problems: the kinematic dynamo problem, the hydrodynamic and MHD stability problem for steady space-periodic flows and MHD states comprised of randomly generated Fourier coefficients and having energy spectra of three types: exponentially decaying, Kolmogorov with a cut off, or involving a small number of harmonics (“big eddies”). …”
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Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies by Heiner Stuke, Robert Schlack, Michael Erhart, Anne Kaman, Ulrike Ravens-Sieberer, Christopher Irrgang

“…Based on these predictive models, we used permutation-based feature importance analyses to identify relevant predictors and predictor domains. …”
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Comparison of MobilenetV2 and EfficiennetB3 Method to Classify Diseases on Corn Leaves by Riyadi Slamet, Mulya Rezka, Nabila Realisti Aulia

“…According to FAO in 2017, disease problems often hamper corn production. The main problems that affect crop yields are diseases that damage corn leaves, including rust, spot, blight and downy mildew. …”
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A Symbiosis of Multi-Criteria Decision Making and Electroencephalography: A Review of Techniques, Applications, and Future Directions by Aylin Adem, Erman Cakit, Metin Dagdeviren, Anna Szopa, Waldemar Karwowski

“…To address these problems, specialized techniques have been developed and utilized. …”
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Studying the history of the Cossacks in the Stavropol territory: state and prospects by M. E. Kolesnikova, T. A. Nevskaya

“…The pre-revolutionary, Soviet and modern stages of the national historiography of the problem of the South Russian Cossacks are considered sequentially, the works of historians, problems, trends and features of research are analyzed. …”
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Hyperledger Fabric Blockchain for Securing the Edge Internet of Things: A Review by Muhammad Haziq Zulhazmi Hairul Nizam, Muhammad Afiq Ahmad Nizam, Muhammad Hadi Husaini Jummadi, Nik Nor Muhammad Saifudin Nik Mohd Kamal, Ahmad Anwar Zainuddin

“…Hyperledger Fabric offers advanced capabilities of smart contract and offers authorized and conditional access control, and this feature alone is enough to fulfil the IoT security needs. …”
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Semi-Supervised Change Detection with Data Augmentation and Adaptive Thresholding for High-Resolution Remote Sensing Images by Wuxia Zhang, Xinlong Shu, Siyuan Wu, Songtao Ding

“…Firstly, a channel-level data augmentation (CLDA) technique is designed to enhance the strong augmentation effect and improve consistency regularization so as to address the problem of insufficient feature representation. Secondly, an adaptive threshold (AT) is proposed to dynamically adjust the threshold during the training process to balance the quality and quantity of pseudo-labeling so as to optimize the self-training process. …”
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Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention by Xingjian Zheng, Xin Lin, Linbo Qing, Xianfeng Ou

“…As deep learning strives, Convolutional Neural Networks (CNNs) have shown their effects in image processing applications. There are two problems in old-school change detection techniques: First, the techniques do not fully use the effective information of the global and local features, which causes their semantic comprehension to be less accurate. …”
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RTDU: Interpretable Region-Aware Transformer-Based Deep Unfolding Network for Pan-Sharpening by Shuo Wang, Genji Yuan, Jinjiang Li

“…Specifically, we propose three optimization problems for pan-sharpening and design a region-aware transformer block (RA-Block) within the unfolding algorithm framework to model both global and local information for the proposed optimization problems, redefining the bottleneck. …”
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PREDICTION MODEL FOR STUDENTS' ON-TIME GRADUATION USING ALGORITHM SUPPORT VECTOR MACHINE (SVM) BASED  PARTICLE SWARM OPTIMIZATION (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

“…In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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Applying auxiliary supervised depth-assisted transformer and cross modal attention fusion in monocular 3D object detection by Zhijian Wang, Jie Liu, Yixiao Sun, Xiang Zhou, Boyan Sun, Dehong Kong, Jay Xu, Xiaoping Yue, Wenyu Zhang

“…The use of both depth and visual features also faces problems of heterogeneous fusion. …”
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Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

“…In order to enhance the ability of the backbone to capture features, the idea of the guidance module (CGBlock) of contextual information is introduced to construct a new CGC2f module; the efficient squeeze excitation (ESE) attention mechanism is embedded in the feature fusion layer to make the model pay more attention to the channels containing important feature information; in order to enhance the model’s learning ability for obstacles of different sizes in the open-pit mine, a more suitable dynamic head network (DyHead) is used at the output end; in order to further improve real-time performance, the layer-based adaptive amplitude pruning (LAMP) score algorithm is used to prune redundant weight parameters. …”
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Crop-Free-Ridge Navigation Line Recognition Based on the Lightweight Structure Improvement of YOLOv8 by Runyi Lv, Jianping Hu, Tengfei Zhang, Xinxin Chen, Wei Liu

“…First, this method reduces the parameters and computational complexity of the model by replacing the YOLOv8 backbone network with MobileNetV4 and the feature extraction module C2f with ShuffleNetV2, thereby improving the real-time segmentation of crop-free ridges. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Abstract With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…The research shows efficient backscatter removal improves feature detection robustness, especially in murky water conditions. …”
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LightYOLO: Lightweight model based on YOLOv8n for defect detection of ultrasonically welded wire terminations by Jianshu Xu, Lun Zhao, Yu Ren, Zhigang Li, Zeshan Abbas, Lan Zhang, Md Shafiqul Islam

“…Secondly, Group-Shuffle Convolution (GSConv) is used to construct the feature fusion structure of the neck, which enhances the fusion efficiency of multi-level features. …”
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