Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

“…Preceding forecasting algorithms primarily focused on time series analysis, often overlooking influential factors such as economic conditions. …”
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Data-driven modeling of the Yld2000 yield criterion and its efficient application in numerical simulation by Xiaomin Zhang, Jianzhong Mao, Zhi Cheng

“…To address the high computational cost resulting from the complex mathematical expressions of traditional high-order yield criteria, this study proposes a data-driven modeling approach for high-order yield criteria aimed at improving computational efficiency in sheet metal forming simulations. …”
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Implementation of SLAM-Based Online Mapping and Autonomous Trajectory Execution in Software and Hardware on the Research Platform Nimbulus-e by Thomas Schmitz, Marcel Mayer, Theo Nonnenmacher, Matthias Schmitz

“…The inclusion of vehicle odometry data significantly reduces computation time and improves accuracy compared to a purely visual approach. …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Notably, convolutional neural networks have demonstrated exceptional capabilities in pattern recognition, significantly improving tumor detection, segmentation, and differentiation. …”
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PPLA-Transformer: An Efficient Transformer for Defect Detection with Linear Attention Based on Pyramid Pooling by Xiaona Song, Yubo Tian, Haichao Liu, Lijun Wang, Jinxing Niu

“…It utilizes a more concise linear attention mechanism to reduce the computational load, thereby improving detection efficiency. Furthermore, it enhances global feature extraction capabilities through pyramid pooling, which improves the detection accuracy. …”
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Free-form型机床的切齿优化（一）——优化模型的建立 by 张艳红, 郭九生, 王小椿

“…Keeping the predetermined second-order contact parameters unchanged and optimizing third-order contact, this model can meanwhjle optimize the forth-order contact parameters, improving quality of the meshing. Using projection on parameter line, the effectiveness of the algorithms is verified by computer simulation.…”
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An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines by Pengzhen Zhao, Xichao Wang, Shuainan Yu, Xiangqing Dong, Baojiang Li, Haiyan Wang, Guochu Chen

“…The results indicate the proposed dataset highlights areas for improvement in algorithmic models and fills the data gap in the coal mining, providing valuable resources for developing coal mine safety monitoring.…”
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Hybrid modeling of structure extension and instance weighting for naive Bayes by Yu Liangjun, Wang Di, Zhou Xian, Wu Xiaomin

“…Of numerous approaches to improving NB, structure extension and instance weighting have both achieved remarkable improvements. …”
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Exploration and Construction of Personalized Customization Mode in Modern Fashion Design by Sun Huaiqun

“…By analyzing the advantages of this model in meeting personalized consumer needs, improving production efficiency, and promoting green design and sustainable development, this article further proposes specific suggestions for technology optimization, process simplification, and user experience improvement. …”
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Carbon co-benefits of digital economy and green finance: empirical evidence from China by Yayun Ren, Xiaohang Xu, Yantuan Yu, Zhenhua Zhang

“…These findings are robust across various validation tests, including time-placebo test, alternative model specification, and double machine learning algorithms. According to mechanisms analysis, improving green technological innovation and human capital level are the main channels that DEGF produces carbon co-benefits. …”
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Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…In connection with the expansion of the individualization of the learning process in the Russian educational system, the improvement of the research methods and algorithms relevance for constructing exams schedule is expected.…”
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A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders by Cosmina-Mihaela Rosca, Adrian Stancu

“…The value analysis of the performance metrics of ML models demonstrates the ability to correctly classify neuro-degenerative diseases, with high accuracy in some cases (for example, 97.46% accuracy in Alzheimer’s diagnosis), but there may still be improvements. Future directions include exploring rare diseases, investigating underutilized algorithms, and developing standardized protocols for evaluating the performance of ML models, which will facilitate the comparison of results across different studies.…”
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Analysis of polarization of dipole modes in non-circular boreholes in anisotropic formation by G. S. Shchelik

“…The application of frequency filters and «non-orthogonal» processing algorithms is proved to be effective for validation and accuracy improvement of the obtained directions.…”
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Simplified Pedestrian Tracking Filters with Positioning and Foot-Mounted Inertial Sensors by Henar Martin, Juan A. Besada, Ana M. Bernardos, Eduardo Metola, José R. Casar

“…In particular, the algorithms rely, respectively, on an extended Kalman filter (EKF) and a simplified complementary Kalman filter (KF). …”
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A survey on resource allocation in backscatter communication networks by Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU

“…With the development of Internet of things (IoT) technology, wireless networks have the characteristics of massive user access, high power consumption, and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption, backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios, the improvement of spectrum efficiency, system capacity, and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem, resource allocation algorithms in backscatter communications were surveyed.Firstly, the basic concept and different network architectures of backscatter communication were introduced.Then, resource allocation algorithms in backscatter communication networks were analyzed according to different network types, optimization objectives, and the number of antennas.Finally, the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.…”
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The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases by Bo Gao, Wendu Duan

“…Early detection, accurate diagnosis, and effective treatment of liver diseases are of paramount importance for improving patient survival rates. However, traditional methods are frequently influenced by subjective factors and technical limitations. …”
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“AI et al.” The perils of overreliance on Artificial Intelligence by authors in scientific research by Juan S. Izquierdo-Condoy, Jorge Vásconez-González, Esteban Ortiz-Prado

“…While AI holds promise for improving efficiency and accuracy, concerns have arisen about its potential misuse and the erosion of scientific integrity.…”
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An Effective Speaker Clustering Method using UBM and Ultra-Short Training Utterances by Robert HOSSA, Ryszard Andrzej MAKOWSKI

“…Therefore, it is essential to use algorithms compensating these differences in ASR systems. …”
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A Hybrid Approach to Model Hospitals and Evaluate Wards’ Performances by Arsineh Boodaghian Asl, Luca Marzano, Jayanth Raghothama, Adam S. Darwich, Nina Falk, Patrik Bodeby, Sebastiaan Meijer

“…Through network analysis, such as structural hole and flow algorithms, the approach identifies common persistent bottlenecks from the flow and structural perspectives, while percolation and perturbation analyses measure the performance improvement of wards based on variations in patient flow, and the simulations enable the investigation of scenarios. …”
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Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits by Andrey Romanov, Min Gee Cho, Mary Cooper Scott, Philipp Pelz

“…We discuss further experimental and algorithmic improvements necessary to also resolve single weakly scattering atoms in 3D.…”
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