A comprehensive survey of the machine learning pipeline for wildfire risk prediction and assessment by Naveed Ejaz, Salimur Choudhury

“…It highlights the integration of diverse data sources, including remote sensing, in-situ measurements, geospatial layers, and historical fire records and outlines pre-processing and feature engineering techniques to represent climatic, topographic, vegetation, anthropogenic, and temporal fire patterns. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…The method is enhanced with various feature extraction methods. On the JAFFE dataset, the algorithm achieved an average classification accuracy of 94.55% when supported with local binary patterns and 94.27% with a histogram of oriented gradients. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…Roberta is very good at extracting valuable information from both textual embeddings and at capturing complex patterns across many modalities. By using multi-modal feature extraction layers, which guarantee that different kinds of data are compatible, image representations attain this. …”
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Decoding a Huge Success: the Two Faces of C’è ancora domani (There’s Still Tomorrow) by Marco Cucco, Raoul Spiccia

“…From this perspective, C’è ancora domani demonstrates how, in order to valorized films, it is always important to develop ad hoc strategies, and that the prototypal nature of films also concerns the promotional patterns.…”
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AlKhalil Morpho Sys 2: A robust Arabic morpho-syntactic analyzer by Mohamed Boudchiche, Azzeddine Mazroui, Mohamed Ould Abdallahi Ould Bebah, Abdelhak Lakhouaja, Abderrahim Boudlal

“…In addition, we have enriched the morphological features provided by this new version with the lemma tag of the word and its pattern, which are very useful in many applications of Arabic language processing. …”
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Diagnostic imaging modalities in the study of hepatic alveolar echinococcosis: A review of literature by Iliar Baudinov, Aliya Kadyrova, Kubat Ibraimov, Prabha K C, Bakhadyr Bebezov, Sezdbek Aitbaev, Tilek Umetaliev, Kursanbek Raimkulov

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Comprehensive Analysis to Reveal Amino Acid Metabolism-Associated Genes as a Prognostic Index in Gastric Cancer by Gangjun Zhao, Mi Wu, Qiuwen Yan

“…We developed a scoring system (AAM score) based on 4 AAM gene expressions to measure the AAM patterns of each patient. …”
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A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
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Comparison of Non-Water Proof Mascara Adhesion on the Surface of Different Two-week Frequent Replacement Silicone Hydrogel Contact Lenses by Mimura T, Nakagomi R

“…Non-waterproof mascara was randomly applied in a cross-pattern on the SiHySCL surface using the Latin squares method. …”
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Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…To enhance the scientific rigor and practical relevance of disaster resilience evaluation in mountainous rural communities, this study developed a multilevel assessment framework based on the Pressure-State-Response (PSR) model by integrating the entropy method and Analytic Hierarchy Process (AHP). …”
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The Xenopyricularia zizaniicola exhibits a genome architecture distinct to the two-speed genome by Zhenyu Fang, Yuyong Li, Jianqiang Huang, Jianhong Wang, Xiwen Lian, Shuhui Lin, Zonghua Wang, Yongsheng Zhu, Huakun Zheng

“…Although increasing high-quality genomic data enable insights into the genome architecture of many fungal pathogens during the last decades, genomic features of many fungal species are still not fully characterized. …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Specifically, the Fingerprint Encoder Network (FEN) processes molecular fingerprints, the Graph Encoder Network (GEN) extracts structural features from graph-based representations, and the Protein Encoder Network (PEN) captures sequential patterns from protein sequences. …”
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АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

“…In-depth study and development of ways to optimize the basic ergonomic principles of work, monitoring the dynamics of implementation and, if necessary, the possibility of their correction is an important scientific and practical issue that can increase the level of dental care. …”
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Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

“…We analyzed the effects of different types of sensor data, such as time spent in an individual room according to human motion sensors, location in a facility, and sleep patterns, on dementia detection. We then developed a feature extraction method related to daily activity patterns based on a clustering algorithm and analyzed its effectiveness. …”
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Biomechanical optimization and reinforcement learning provide insight into transition from ankle to hip strategy in human postural control by Seongwoong Hong, Sukyung Park

“…We analyzed postural strategy changes in human responses to backward perturbations and developed a reinforcement learning (RL)-based optimization model. …”
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Constrictive Pericarditis in a Hemodialysis Patient Who Presented with Rapidly Progressive Pericardial Calcification: A Diagnostic Challenge – A Case Report by Oho Tsunematsu, Shin-ichi Takeda, Mitsutaka Yamaguchi, Miwa Kaneko, Kazuho Oe, Yoshiaki Murakami, Daisuke Nagata

“…Cardiac catheterization subsequently revealed a dip-and-plateau pattern of right ventricular pressure, which led to a definitive diagnosis of CP. …”
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Graines d'histoire by Claire Newton, Jean-Frédéric Terral, Sarah Ivorra, Muriel Gros-Balthazard, Claire Tito de Morais, Sandrine Picq, Margareta Tengberg, Jean-Christophe Pintaud

“…We could also characterize ancestral seed shape features present in uncultivated populations. Within Phoenix dactylifera, the agrobiodiversity appears complex in terms of geographical structure; the distribution pattern of seed shapes points to human dispersal routes that spread cultivation from one or more initial ‘domestication centres’.In addition, this work provides a powerful tool to identify ancient forms as demonstrated by the analysis of well-preserved desiccated seeds from Egyptian archaeological sites (14th c. …”
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Assessing distortion in carbon fiber woven fabrics based on machine vision by Shiyue Li, Quanzhou Yao, Lin Ye

“…This work proposes a machine vision method to locate defective areas, identify defects, and describe fiber tow distribution patterns. A back-lighting imaging system was designed to minimize surface reflection interference, enabling high-quality fabric image acquisition. …”
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Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review by Omnia Nabil, Nahid Afia, T Ismail

“…Despite the advances, the availability and quality of datasets remain a significant limitation in developing robust models. Future research directions are identified, including the need for improved feature engineering, architecture optimization, and model interpretability. …”
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Efficient Classification of Pomegranate Diseases Using Deep Learning Models and Interactive Visualization by Mishra Gaurav, Nagaonkar Jagruti, Parmar Harsh, Joshi Gaurav

“…These models accurately detect complicated disease patterns, allowing for timely intervention to reduce crop losses and increase agricultural production. …”
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