Enhancing Real-Time Aerial Image Object Detection with High-Frequency Feature Learning and Context-Aware Fusion by Xin Ge, Liping Qi, Qingsen Yan, Jinqiu Sun, Yu Zhu, Yanning Zhang

“…Aerial image object detection faces significant challenges due to notable scale variations, numerous small objects, complex backgrounds, illumination variability, motion blur, and densely overlapping objects, placing stringent demands on both accuracy and real-time performance. Although Transformer-based real-time detection methods have achieved remarkable performance by effectively modeling global context, they typically emphasize non-local feature interactions while insufficiently utilizing high-frequency local details, which are crucial for detecting small objects in aerial images. …”
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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

“…Extensive experiments are performed on three benchmark datasets to demonstrate the effectiveness of our method in real scenarios. The experiment results and analysis indicate significantly better performance on four different evaluation metrics compared to the recent state-of-the-art (SOTA) DP-based methods. …”
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Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification by Wanying Li, Mahpirat Muhammat, Xuebin Xu, Alimjan Aysa, Kurban Ubul

“…Abstract Developing technologies that can accurately identify and highlight subtle differences in signatures is crucial for improving the performance of signature recognition and verification. …”
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Statehood and its International Legal Significance by I. A. Romaikin

“…The modern system of international relations features an incredible complexity of its processes and events. Thus, in different countries there is a transformation of the existing state-legal forms as well as crises of government institutions. …”
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Short-Term Electricity Price Forecasting Using the Empirical Mode Decomposed Hilbert-LSTM and Wavelet-LSTM Models by Kunal Shejul, R. Harikrishnan, Amit Kukker

“…The objective is to improve the precision and adaptability of electricity price predictions by utilizing the temporal dependence identification capability of LSTM and the multiresolution analysis capability of the transforms. The proposed models combine these two effective methods in order to capture both the long-term trends and short-term variations present in electricity price time series data. …”
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Hospitality market in the Russian Federation: Present and trends by Tatyana N. Safronova, Tatyana L. Kamoza, Olga M. Evtukhova, Milena A. Khaneeva, Anastasia I. Vanchikova

“…The work involved methods of statistical assessment, observation, data accumulation, and comparison techniques to detect similar and different characteristics in several systems. …”
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Our findings underscore the transformative potential of AI models, offering a more reliable and scalable alternative for predictive tasks in our framework. …”
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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

“…Among these industries, the sports sector is experiencing significant transformation, which needs support in accurately monitoring athlete predicting and performance injuries arising due to traditional methods’ limitations. …”
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Radiographic morphometry of intervertebral spaces of the vertebral column in health and dystrophic changes in the intervertebral disks by A. A. Volkov, N. N. Belosel’skiy, Yu. N. Pribytkov

“…Objective: to develop a radiographic morphometric procedure for estimating the sizes and shapes of intervertebral spaces in the thoracic and lumbar spine and to evaluate the status of intervertebral spaces in women in health in terms of their age and in dystrophic transformations of intervertebral disks.Material and methods. …”
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Evaluating the Accuracy of Bluetooth-Based Travel Time on Arterial Roads: A Case Study of Perth, Western Australia by Yuchen Liu, Jianhong (Cecilia) Xia, Aloke Phatak

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3-D UXSE-Net for Seismic Channel Detection Based on Satellite Image Enhanced Synthetic Datasets by Xinke Zhang, Yihuai Lou, Naihao Liu, Daosheng Ling, Yunmin Chen

“…Comparisons of different methods highlight the effectiveness of the synthetic data generation approach for DL model training.…”
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A Versatile Gyro Inclinometer, Adaptive to the Borehole Trajectory, Based on a Uniaxial Angular Rate Sensor by Ya. I. Binder, I. A. Khazov

“…To make a GI based on a uniaxial angular velocity sensor more adaptive to the borehole trajectory thought its design modification and a comparative analysis of errors.Materials and methods. Algorithms for ideal operation of the proposed scheme in continuous mode are synthesized based on matrix transformations of coordinates and Euler equations. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Background: Accurate and reliable classification models play a major role in clinical decision-making processes for prostate cancer (PCa) diagnosis. However, existing methods often demonstrate limited performance, particularly when applied to small datasets and binary classification problems. …”
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RUSSIAN-BELARUSIAN BORDER REGION AS AN INTERCAPITAL REGION by A. P. Katrovskiy, A. K. Nizhnikova

“…Qualitative and functional differences (development inequality) turn into quantitative differences (economic growth inequality). …”
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An end-to-end attention-based approach for learning on graphs by David Buterez, Jon Paul Janet, Dino Oglic, Pietro Liò

“…Despite its simplicity, the approach outperforms fine-tuned message passing baselines and recently proposed transformer-based methods on more than 70 node and graph-level tasks, including challenging long-range benchmarks. …”
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Role of Human Papilloma Virus in Carcinogenesis of Head and Neck Squamous Cell by Sukri Rahman, Zulda Musyarifah

“…Carcinogenesis due to HPV infection has a different moleculer pathway from HNSCC without HPV infection. …”
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Assessment of green development strategies for manufacturing industry in China's coastal regions under dual-carbon circular economy using analytic hierarchy process by Lihong Jiang

“…Specifically, there is an urgent requirement to bolster the green system, a need to fully leverage the transformative capabilities of green innovation, and a necessity to address the inconsistent pace of green transformation observed across different regions.DiscussionThe steady enhancement in green development quality is a positive trend, yet the identified challenges underscore areas requiring immediate attention and strategic intervention. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Source and construction areas exhibited higher proportions of mild subsidence (7.14% and 9.84%, respectively), which should be prioritized for monitoring and management. Different fusion methods showed varying effectiveness. …”
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Effect of Nickel Content and Cooling Rate on the Microstructure of as Cast 316 Stainless Steels by Lei Chen, Yang Wang, Yafeng Li, Zhengrui Zhang, Zhixuan Xue, Xinyu Ban, Chaohui Hu, Haixiao Li, Jun Tian, Wangzhong Mu, Kun Yang, Chao Chen

“…The effect of the cooling rate on the ferrite content and precipitation phases of the high Ni content of the 316 stainless steel casting (H-316) is studied by remelting experiments and different methods of quenching of liquid steel. In both cases, the ferrite content and the precipitate phases in the microstructure are analyzed using SEM and EBSD. …”
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