THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…As machine calculation capacity advances, AI's role in radiomics—extracting numerous quantitative features from medical images—could significantly enhance diagnostic accuracy. …”
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RESULTS OF THE TECTONOPHYSICAL STUDY IN THE DZHANKHOT THRUST ZONE (NORTHWESTERN CAUCASUS) by A. V. Marinin, T. Yu. Tveritinova

“…There was shown the difference in the development of geological indicators of faults for different elements of the folded structures. …”
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Laser Guard: Efficiently Detecting Laser-Based Physical Adversarial Attacks in Autonomous Driving by Lijun Chi, Mounira Msahli

“…Such AEs have distinct pattern features, significant occupation, high contrast, and low variance. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…As a case study, we considered the binary classification of points belonging to a certain geometric pattern (the Two-Moons Classification problem) on a plane. …”
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Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning by Alok Dhaundiyal, Laszlo Toth

“…This article aimed to incorporate the coordinated construction of classifiers to develop a model for predicting the pyrolysis of loose biomass. …”
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CLINICAL AND ELECTROENCEPHALOGRAPHIC CHARACTERISTICS OF IDIOPATHIC CHILDHOOD FOCAL EPILEPSY WITH CENTROTEMPORAL SPIKES by K. Yu. Mukhin

“…Sulthiame (ospolot) as monotherapy is used in Germany.Based on their findings and the data available in the literature, the authors consider the etiology, pathogenesis, clinical manifestations of RE and its diagnosis, treatment principles, and prognosis. The specific features of the electroencephalographic pattern in this disease are detailed.…”
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Canalization of gene expression and domain shifts in the Drosophila blastoderm by dynamical attractors. by Manu, Svetlana Surkova, Alexander V Spirov, Vitaly V Gursky, Hilde Janssens, Ah-Ram Kim, Ovidiu Radulescu, Carlos E Vanario-Alonso, David H Sharp, Maria Samsonova, John Reinitz

“…Our analysis shows that the complex phenomena of canalization and pattern formation in the Drosophila blastoderm can be understood in terms of the qualitative features of the dynamical system. …”
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Spatiotemporal Decoupling Between Intensive Policy Interventions and Natural Gradual Recovery in Human–Land Systems During Transition Periods: A Remote Sensing Analysis by Xiao Xie, Chunxiao Zhang, Haojie Kang, Chao E, Jingzhong Li, Wanxia Ren

“…Addressing the ecological vulnerability and challenges of degradation-restoration dynamics in transitional human–earth systems represented by the Kubuqi Desert region, this study leverages the advantages of multisource remote sensing imagery in multifactor, annual cyclical, long-term, and spatially heterogeneous complex surface feature analysis. By integrating discrete pixel characteristics with continuous change processes in landscape pattern dynamics, we developed a remote sensing ecological index cube framework. …”
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An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin by Zhonghui Guo, Chang Feng, Liu Yang, Qing Liu

“…Additionally, the coupled model's SSTI leveraged model-internal attention weights to provide new insights into further understanding watershed ET spatiotemporal mechanisms. The feature global interpretation results revealed that meteorological features served as ET dominant drivers in time-varying features (48 % importance), followed by land use features (35 %), while soil features (64 %) dominated static features. …”
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Ensemble Voting for Enhanced Robustness in DarkNet Traffic Detection by Varun Shinde, Kartik Singhal, Ahmad Almogren, Vineet Dhanawat, Vishal Karande, Ateeq Ur Rehman

“…This clearly indicates the strength of ensemble methods in handling a diverse set of patterns and raising the ability to classify, which is an important lesson for the further development of research in machine learning and models.…”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms by Czangyeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang

“…Previous methods for system intrusion detection have mainly consisted of those based on pattern matching that employs prior knowledge extracted from experts’ domain knowledge. …”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…Feature selection using the ANOVA method identified 10 key features from a total of 17: seq, stddev, N_IN_Conn_P_SrcIP, min, state_number, mean, N_IN_Conn_P_DstIP, drate, srate, and max. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

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Bangla Character Detection Using Enhanced YOLOv11 Models: A Deep Learning Approach by Mahbuba Aktar, Nur Islam, Chaoyu Yang

“…A key limitation lies in the absence of robust detection frameworks capable of accommodating the script’s complex visual patterns and nuances. To address this gap, we propose an enhanced object detection model based on the YOLOv11 architecture, incorporating a ResNet50 backbone for improved feature extraction. …”
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Client aware adaptive federated learning using UCB-based reinforcement for people re-identification by Dinah Waref, Yomna Alayary, Nadeen Fathallah, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem

“…Finally, we introduce a feature-level attention mechanism focusing on discriminative features for re-identification. …”
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Mentality in the Context of Interaction Between Social and Virtual Reality by Yulia V. Gavrilova

“…A feature of the modern world is the integration of social and virtual realities: the area of their correlation is being formed, in which the processes of human life activity take place. …”
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Characteristics of gene mutations in Vietnamese medullary thyroid carcinoma patients: a single-center analysis by Van Hung Pham, Quoc Thang Pham, Minh Nguyen, Hoa Nhat Ngo, Thao Thi Thu Luu, Nha Dao Thi Minh, Trâm Đặng, Anh Tu Thai, Hoang Anh Vu, Dat Quoc Ngo

“…Mutations in these three exons were linked to specific histopathological features. Information on mutational profiles of patients with MTC will further aid in the development of targeted therapeutics to ensure effective disease management.…”
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Detecting and Analysing Possible Outliers in Global Stock Market Returns by Ali A. Shehadeh, Sadam M. Alwadi, Mohammad I. Almaharmeh

“…The main objective of the paper is to provide an extensive analysis of the main characteristics, features and effects of the detected outlier returns. …”
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Phenotypic diversity and provenance variation of Cupressus funebris: a case study in the Sichuan Basin, China by Wang Yan, Yongqi Xiang, Mei Gao, Ruoyu Deng, Yan Sun, Renping Wan, Xianyi Pan, Wanzhen Li, Yu Zhong

“…Key traits explored included growth characteristics, overall morphology, branch/leaf features, and seed traits. This will facilitate the evaluation of genetic diversity in Cupressus funebris. …”
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