Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

“…Across all scenarios, previous milk yield is a stronger predictor than short-term meteorological variables, suggesting that recent production trends already reflect key weather effects. This pattern also holds within homogeneous sub-datasets. …”
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Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between ¹¹C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease... by Atsushi Kawaguchi, Fumio Yamashita

“…By applying this method to imaging data of 61 patients with AD (age: 55–85), the first component showed the strongest correlation with the composite score, owing to the supervised feature. The spatial pattern included the hippocampal and parahippocampal regions for MRI. …”
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ARCHITECTURE OF MODERN SYSTEMS OF MANAGING A SCIENTIFIC EXPERIMENT IN THE FIELD OF BIG DATA PROCESSING by Anastasiia Y. Kaida, Aleksei O. Savelev

“…One of the key challenges is to generalize those EMS systems that have arisen and changed as related technologies have developed, while, at the moment, there is no single design pattern for such systems due to the features of each specific project for which such a system is created. …”
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ACCENTUATION ERROR AS A PHENOMENON OF MODERN COMMUNICATION IN THE INFORMATION SPACE by Iryna A. Kolesnikova

“…Such work is necessary especially in the conditions of artificial bilingualism that has developed in modern Ukraine. Knowledge of foreign languages is a characteristic feature of the 21st century, but knowledge of the mother tongue is a natural attribute for every citizen. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…Even though consumption-based models have been applied extensively to the detection of power theft, it can be difficult to reliably identify theft instances based only on patterns of usage. In this paper, a novel rule-based combined machine learning (rML) technique is developed for power theft detection to address the drawbacks of systems that rely just on consumption patterns. …”
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Slowness and sparseness lead to place, head-direction, and spatial-view cells. by Mathias Franzius, Henning Sprekeler, Laurenz Wiskott

“…The type of cells that develops depends solely on the relevant input statistics, i.e., the movement pattern of the simulated animal. …”
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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

“…Since the local binary pattern (LBP) and histogram of oriented gradients (HOG) feature extraction methods gave more successful results than other methods, a new feature map was obtained using the neighborhood component analysis (NCA) dimension reduction method after combining the features obtained using these methods. …”
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Pathway-like Activation of 3D Neuronal Constructs with an Optical Interface by Saeed Omidi, Yevgeny Berdichevsky

“…Responses of the network to the stimulation possessed features of neuronal population code, including separability by input pattern and mixed selectivity of individual neurons. …”
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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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Evolution and driving factors of “Production-living-ecological spaces” in mountainous counties: a case study of Tongdao County, Hunan Province by Hengyuan Cao, Weidong Liu, Minjie Liu

“…Third, PLES are significantly affected by water sources and roads, and the production and living spaces are typically located adjacent to these features. Finally, the development and evolution of PLES patterns are primarily influenced by natural geographical factors, with socioeconomic factors acting as the primary driving force. …”
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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

“…Face recognition is one of the important elements that can be used for securing the facilities, emotion recognition, sentiment exploration, fraud analysis, and traffic pattern analysis. Intelligent face recognition has yielded excellent accuracy in a controlled environment whereas vice versa in an uncontrolled environment. …”
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Mechanisms and regulatory pathways of recessive land use transition by TAN Lin, CHEN Lan

“…Clarifying the scientific connotation and intrinsic mechanisms of recessive land use transition and exploring regulatory pathways to address urban-rural economic and social transitions can provide a basis for optimizing territorial spatial patterns and promoting high-quality development. [Methods] Based on the improved social development model, we constructed a framework for the mechanisms of recessive land use transition. …”
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A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries by Aitolkyn Baigutanova, Sungkyu Park, Marios Constantinides, Sang Won Lee, Daniele Quercia, Meeyoung Cha

“…The dataset aims to benchmark in-the-wild HRV recordings, enable future analyses in the field, and support the development of predictive analytics that use sleep patterns and wearable data as health indicators.…”
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Computer Based Body Exposure in Adolescents With Anorexia Nervosa: A Study Protocol by Valeska Stonawski, Lena Sasse, Gunther Moll, Oliver Kratz, Stefanie Horndasch

“…Body dissatisfaction is a core feature of eating disorders (EDs) and plays an essential role in the development and maintenance of anorexia nervosa (AN). …”
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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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Interpretability Study of Gradient Information in Individual Travel Prediction by Ziheng Su, Pengfei Zhang, Xiaohui Song, Yifan Li

“…Descending-order masking strategies exhibit the strongest impact, highlighting nonlinear interactions among features. Contribution maps visualize how gradients capture regular patterns and anomalies. …”
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Innovative Techniques for Enhancing the Reliability of Machine Learning Classifiers in Protein-Protein Interaction Hotspot Prediction by M. O. Otun

“…Key approaches include advanced feature engineering, integration of multi-omics data, ensemble learning methods, and the application of deep learning architectures. …”
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Car dependency beyond land use: Can a standardized built environment indicator predict car use? by Eva Van Eenoo, Koos Fransen, Kobe Boussauw

“…Against this backdrop, this paper assesses the extent to which the mobility score can predict car use and aims to contribute to the line of research that studies travel patterns in relation to accessibility, spatial context, and travel mode choice. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CapsNet model is employed for feature extraction to recognize spatial hierarchies and capture intricate patterns from complex visual data. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…To address these issues, we propose a novel interpretable residual shrinkage network, namely, ID3RSNet, for cross-subject driver drowsiness detection using single-channel EEG signals. First, a base feature extractor is employed to extract the essential features of EEG frequencies; to enhance the discriminative feature learning ability, the residual shrinkage building unit with attention mechanism is adopted to perform adaptive feature recalibration and soft threshold denoising inside the residual network is further applied to achieve automatic feature extraction. …”
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