A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data by Mathew Nicho, Ahmed Hamed, Tarek Gaber, Jamal Hamad Al Arimi

“…Violence against women is a global problem requiring innovative preventive measures. …”
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Optical flow estimation based on global cross information and dynamic encoder–dynamic decoder by Haoxin Guo, Yifan Wang, Xiaobo Guo

“…To solve the problem that the lack of a global perspective leads to local misestimation and overall structural dislocation when optical flow estimates large-scale motion and complex scenes, this paper proposes an optical flow estimation based on global cross information and dynamic encoder–dynamic decoder. …”
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A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting by Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen

“…The article presents a novel multi-objective (MO) hybrid evolutionary-based approach, GA-SHADE-MO, for tuning ML models aimed at solving the complex problem of forecasting power consumption. The proposed algorithm simultaneously optimizes both hyperparameters and feature sets across six different ML models, ensuring enhanced accuracy and efficiency. …”
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Dźwigary Załamane W Planie by W. Wierzbicki

“…It is subjected not only to bending but also to torsion, which is its main feature. Fig. 5 shows a broken line cantilever beam. …”
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St Augustine’s Teaching on the Image of God in Man in the Mystery of Creation by Piotr Kołacz

“…We hope that in this way we managed to avoid the risk of superficiality and we took into account all the statements of Saint Augustine regarding the problem posed. Unfortunately, L. Krupa did not prevent himself from committing this mistakeN8. …”
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ACA-Net: adaptive context-aware network for basketball action recognition by Yaolei Zhang, Fei Zhang, Yuanli Zhou, Xiao Xu

“…The LSTA module adaptively learns global and local temporal features of the video. The TSCI module enhances the feature representation by learning the interaction features between space and channels. …”
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Stability Enhancement of Inverter-Based Microgrids Using Optimized Neural Networks by PANG Kai, TANG Zhiyuan, GAO Hongjun, LIU Youbo, LIU Junyong

“…[Methods] An offline eigenvalue-based optimization problem was formulated to compute the optimal multicontrol parameters using the osprey optimization algorithm（OOA）under various operating conditions. …”
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Flood Image Classification using Convolutional Neural Networks by Olusogo Julius Adetunji, Ibrahim Adepoju Adeyanju, Adebimpe Omolayo Esan, Adedayo Aladejobi Sobowale Sobowale

“…The model leverage on the unique features of region of Interest aligns to resolve the issues of misalignments caused by the use of region of Interest pooling engaged in the traditional Faster-RCNN. …”
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Algorithm for the synthesis of equations of thermal conductivity of lithium-ion accumulator for finite volumes during division by E. A. Punt

“…A special feature of the division procedure is the change in volumes, areas of contact of interacting elements, and the change in elements that are sources of heat. …”
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Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding. by Yoojin Hong, Jaewoo Kang, Dongwon Lee, Damian B van Rossum

“…A major computational challenge in the genomic era is annotating structure/function to the vast quantities of sequence information that is now available. This problem is illustrated by the fact that most proteins lack comprehensive annotations, even when experimental evidence exists. …”
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Factors of Investment Attractiveness of Russian Regions by D. V. Shcherbakova, A. A. Medved

“…As a result of the study, it was found that the problem under investigation is that in the Russian economy there is a significant gap in the regions in terms of investment activity, which contradicts the principle of the single economic space of the country. …”
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Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

“…While most existing deep learning-based methods focus primarily on image datasets for disease recognition, they often overlook the complementary role of textual features in enhancing visual understanding. To address this problem, we proposed a cross-modal data fusion via a vision-language model for crop disease recognition. …”
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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

“…Skin cancer is a significant healthcare problem with a high mortality rate worldwide. Skin lesions occur due to the abnormal growth of skin cells in humans. …”
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A novel competitive learning prototype for image ordinal classification by Chao Zhang, Chao Feng, Jianmei Cheng, Keren Fu

“…Learning similarity metric, as a fine separation tool, is a prevailing solution to this problem. However, it is non-trivial to effectively incorporate the ordinal information of inputs into the classification task, and it is overlooked recently. …”
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The Last Word by Pieter Fourie

“…Somewhere in the debate, they all feature. In the following paragraphs I prefer to quote verbatim, and in a paraphrased way, from two presentations given by two Unisa scholars at a seminar held on 3 March 2005 at Unisa on the topic of Africanisation. …”
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Learned Regularizations for Multi‐Parameter Elastic Full Waveform Inversion Using Diffusion Models by Mohammad H. Taufik, Fu Wang, Tariq Alkhalifah

“…Unlike other learned (deep) regularizers, diffusion models offer a unique conditional capability that suits the nature of an FWI process (going from low to high frequency) while maintaining the problem‐agnostic feature of such regularizers. Numerical experiments, ranging from synthetic to land field data, show that our framework solves the illumination effects from an imperfect acquisition setup and provides more realistic elastic parameter ratios than the conventional EFWI. …”
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RMPT: Reinforced Memory-Driven Pure Transformer for Automatic Chest X-Ray Report Generation by Caijie Qin, Yize Xiong, Weibin Chen, Yong Li

“…Recently, despite considerable progress, current models typically adhere to a CNN–Transformer-based framework, which still fails to enhance the perceptual field during image feature extraction. To solve this problem, we propose the Reinforced Memory-driven Pure Transformer (RMPT), which is a novel Transformer–Transformer-based model. …”
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CONTROL RESEARCH AND AUTOMATION OF STOCHASTIC DEVIATIONS IN ORGANISATIONAL MANAGEMENT PRODUCTION PROCESS SYSTEMS by R. B. Aghajanyan, D. O. Baizhanova, M. V. Markosyan

“…A method is proposed for the automated realisation of deviation from identification processes based on the processing of unstructured messages, the automatic generation of characteristic control parameters and a comparison of registered values with normative ones. The problem of detecting the primary cause of deviations is considered on the basis of the algorithm for processing the cause-effect relationships and probabilistic values of the relationship between the different defined groups of deviations.Results. …”
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Age-based immunomorphological analysis of rat testis in streptozotocin-induced diabetes mellitus by I.-A. V. Kondrat, I. S. Shponka, T. V. Shynkarenko

“…Diabetes mellitus (DM) has emerged as a public healthcare problem. Sustained hyperglycemia has been linked with many complications including impaired male fertility. …”
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Cost Analysis of the Boiler Unit of Coal Power Units Depending on the Initial Steam Pressure and the Availability оf Flue Gas Purification Systems by I. S. Sadkin, A. P. Shipitsina, P. A. Shchinnikov

“…When designing power plants of a new type or equipping them with new generation equipment, the problem of estimating capital investments is solved with the uncertainty of information on its cost. …”
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