Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes by Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, Mohammad R. Salmanpour, Jieqin Lv, Huiqin Wu, Wentao Zhu, Habib Zaidi, Lijun Lu, Arman Rahmim

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Operator Integrated – Concept for Manufacturing Intelligence by Konrad Wegener, Sascha Weikert, Joseph Mayr, Markus Maier, Vahid Ostad Ali Akbari, Martin Postel

“…Research vectors paving the ground for this concept from different points of view are then discussed. …”
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Reproducibility of evoked and induced MEG responses to proprioceptive stimulation of the ankle joint by Toni Mujunen, Santtu Seipäjärvi, Mila Nurminen, Tiina Parviainen, Harri Piitulainen

“…Cortical processing of proprioceptive afference can be investigated by examining phase locked evoked and induced responses in cortical signals to passive movement stimuli. …”
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Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume by Weijia Gao, Kejing Zhang, Qing Jiao, Linyan Su, Dong Cui, Shaojia Lu, Rongwang Yang

“…Abstract Background The thalamus plays a crucial role in sensory processing, emotional regulation, and cognitive functions, and its dysregulation may be implicated in psychosis. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Traditional word vector methods, such as Word2Vec and GloVe, as well as deep learning models like BERT, face limitations in handling context dependency and polysemy and present challenges in computational resources and real-time processing. …”
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Geoinformatics and Machine Learning for Shoreline Change Monitoring: A 35-Year Analysis of Coastal Erosion in the Upper Gulf of Thailand by Chakrit Chawalit, Wuttichai Boonpook, Asamaporn Sitthi, Kritanai Torsri, Daroonwan Kamthonkiat, Yumin Tan, Apised Suwansaard, Attawut Nardkulpat

“…Coastal erosion is a critical environmental challenge in the Upper Gulf of Thailand, driven by both natural processes and human activities. This study analyzes 35 years (1988–2023) of shoreline changes using geoinformatics, machine learning algorithms (Random Forest, Support Vector Machine, Maximum Likelihood, Minimum Distance), and the Digital Shoreline Analysis System (DSAS). …”
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Shelf Life Identification and Quality Analysis of Golden Delicious Apples Based on Hyperspectral Imaging and Near Infrared Spectroscopy by Xin ZHAO, Shuliang ZHENG, Xiaoying NIU, Jiankang CAO, Han CHEN, Zhilei ZHAO

“…The spectroscopy data was pro-processed by savitzky-golay (SGS), savitzky-golay first derivative (1D), standard normal variate (SNV), and area normalize (Normalize), competitive adaptive reweighted sampling aglorithm (CARS) and uninformative variable elimination (UVE) were used to extract characteristic wavelengths, and the shelf-life classification models were established by back propagation neural network (BP) and least squares support vector machine (LS-SVM). …”
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Study of the slant fracture in solid and hollow cylinders: Experimental analysis and numerical prediction by N. Ben Chabane, N. Aguechari, M. Ould Ouali

“…These two models have been extended to take into account the thermal heating effect induced by the mechanical dissipation within the material during the metal forming process. The two models have been implemented into the finite element code Abaqus/Explicit using a Vectorized User MATerial (VUMAT) subroutine. …”
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Integrating geodetic infrastructures for GNSS displacements analysis in Chile: A case study with REDGEOMIN (2019–2022) by José Antonio Tarrío Mosquera, Valeria Vásquez Tejo, Catalina Cáceres Venegas, Miguel Marten-Allendes, Juan Giglio Gutierrez, Fernando Isla Rodríguez, Marcelo Caverlotti Silva, Gabriel Jeldres Vergara, Rodrigo Urrutia Vidal, Cristian Mardones Castro

“…This work thoroughly analyses GNSS geodetic infrastructure and covers equipment specifications, post-processing data availability, and quality control measures. …”
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Decreased Nucleus Accumbens Connectivity at Rest in Medication-Free Patients with Obsessive-Compulsive Disorder by Yunhui Chen, Yangpan Ou, Dan Lv, Jidong Ma, Chuang Zhan, Ru Yang, Cuicui Jia, Tinghuizi Shang, Lei Sun, Yuhua Wang, Zhenghai Sun, Guangfeng Zhang, Xiaoping Wang, Wenbin Guo, Ping Li

“…Patients with obsessive-compulsive disorder (OCD) experience deficiencies in reward processing. The investigation of the reward circuit and its essential connectivity may further clarify the pathogenesis of OCD. …”
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Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

“…For decoding models, we compared linear and nonlinear methods, including independent component analysis, random forests, and support vector machines, highlighting their capabilities to reveal the intricate mapping between neural activity and behavior. …”
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Regulation of microtubule nucleation in glioblastoma cells by ARF GTPase-activating proteins GIT1 and GIT2 and protein kinase C by Vadym Sulimenko, Eduarda Dráberová, Vladimíra Sládková, Tetyana Sulimenko, Věra Vosecká, Omar Skalli, Pavel Dráber

“…To further investigate their role in microtubule modulation, we examined the function of GITs in microtubule nucleation and the involvement of protein kinase C (PKC) in this process. Methods Glioblastoma cell lines with depleted GIT protein levels were generated using shRNA lentiviral vectors. …”
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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

“…The dataset was processed and normalized for optimal performance, and hyperparameters were fine-tuned using a randomized search method. …”
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Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP by YaFeng Li, XinGang Xu, WenBiao Wu, Yaohui Zhu, LuTao Gao, XiangTai Jiang, Yang Meng, GuiJun Yang, HanYu Xue

“…It was shown that SNV-based processed hyperspectral data combined with GA-BP has great potential for efficient chlorophyll monitoring in grapevine. …”
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Influence of high Andean grasslands on landslide reduction in Peru by Albert Franco Cerna-Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobatón-Tarazona, Wensty Saenz-Corrales, Casiano Aguirre-Escalante, Peter Coaguila-Rodriguez, Manuel Reategui-Inga

“…The best-performing machine learning models were linear regression, Gaussian processes, random forest, and support vector machine. …”
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Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…This fused feature vector was then processed by a linear classifier to perform probabilistic prediction, completing the identity recognition process. …”
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Non-destructive detection of pre-incubated chicken egg fertility using hyperspectral imaging and machine learning by Md Wadud Ahmed, Asher Sprigler, Jason Lee Emmert, Ryan N Dilger, Girish Chowdhary, Mohammed Kamruzzaman

“…Different spectral pre-processing and important feature selection methods were assessed for robust prediction model development. …”
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Gender Classification From Pashto Handwritten Text Images by Khan Sultan, Riaz Ahmad, Siraj Muhammad, Sulaiman Almutairi, Mohammed Abohashrh, Khalil Ullah, Abdallah Namoun, Ibrar Hussain

“…Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning to extract meaningful insights from images and videos. …”
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Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species by Weiwei Jiang, Chenyu Li, Henglin Xiao

“…In response to the dual challenges of global change and human activities, riverine ecological management urgently requires a deep understanding of the large-scale ecological processes of dominant vegetation populations along riverbanks. …”
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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images [version 2; peer review: 2... by Srikanth Prabhu, Vinod Nayak, Aparna Jayakala, Krishna Prakasha K, Gangothri Sanil

“…Background In computer vision and image processing, face recognition is increasingly popular field of research that identifies similar faces in a picture and assigns a suitable label. …”
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