Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods by Soto Valero C.

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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

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A safety evaluation method and system for a high core wall dam based on construction data by Zicheng Wang, Yingchi Mao, Yaosheng Tan, Qiaoling Shen, Houlei Xu

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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

“…Multidimensional trait data, encompassing spectra, texture, and odour, were gathered. …”
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annATAC: automatic cell type annotation for scATAC-seq data based on language model by Lingyu Cui, Fang Wang, Hongfei Li, Qiaoming Liu, Murong Zhou, Guohua Wang

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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

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IndetermSoft Set for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior by Tao Shen, Chunmei Mao

“…This study proposes the multi-criteria decision-making (MCDM) methodology for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior. This study uses two MCDM methods such as the Entropy method to compute the criteria weights and the MARCOS method to rank the alternatives. …”
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Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques by S. Aanjankumar, Monoj Kumar Muchahari, Shabana Urooj, Ishmeet Kaur, Rajesh Kumar Dhanaraj, Hanan Abdullah Mengash, S. Poonkuntran, Parag Ravikant Kaveri

“…The analysis of experimental results validates the model’s efficiency in securing healthcare data, with implications for broader applications in secure, privacy-preserving medical data security analysis.…”
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Integrating observational and modelled data to advance the understanding of heat stress effects on pregnant subsistence farmers in the gambia by Carole Bouverat, Jainaba Badjie, Tida Samateh, Tida Saidy, Kris A. Murray, Andrew M. Prentice, Neil Maxwell, Andy Haines, Ana Maria Vicedo Cabrera, Ana Bonell

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THREE-DIMENSIONAL MODEL OF LEFT CHAMBERS OF THE HEART BASED ON ECHOCARDIOGRAPHY DATA: AN INSTRUMENT FOR DEVELOPMENT OF TRANSCATHETER VALVES by I. Yu. Zhuravleva, R. M. Sharifulin, A. V. Bogachev-Prokofiev, D. V. Nushtaev, O. Yu. Malakhova, D. P. Demidov, A. M. Karaskov

“…The investigation of mitral valve characteristics and of the left heart chambers by method of 3D transthoracal and transesophageal echocardiography makes it to obtain the baseline data necessary for creation of 3D computed models of the anatomic area normal and disordered. …”
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

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Novel feature extraction method for signal analysis based on independent component analysis and wavelet transform. by Mariusz Topolski, Jędrzej Kozal

“…Feature extraction is an important part of data processing that provides a basis for more complicated tasks such as classification or clustering. …”
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Impact of apolipoprotein B-associated cholesterol deficiency genotype on milk composition, somatic cell count, and parity effects in Lithuanian Holstein cows by Ramutė Mišeikienė, Nijolė Pečiulaitienė, Lina Kajokienė, Renata Bižienė, Kristina Morkūnienė, Vilius Marma, Saulius Tušas, Paulius Matusevičius, Ewa Wójcik, Alina Janocha, Anna Milczarek, Laimutis Kučinskas

“…Milk fat, protein, lactose, and SCC were determined using LactoScope Fourier-transform infrared spectroscopy and Somascope methods, while cholesterol concentration was measured by high-performance liquid chromatography. Statistical analysis involved the Kruskal–Wallis H test due to non-normal data distribution. …”
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To crop or not to crop: Comparing whole‐image and cropped classification on a large dataset of camera trap images by Tomer Gadot, Ștefan Istrate, Hyungwon Kim, Dan Morris, Sara Beery, Tanya Birch, Jorge Ahumada

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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…However, the methods previously used for genomic and proteomic data analysis techniques are plagued by issues of high dimensionality, imbalanced class distribution and feature redundancy, which work against the accurate predictability and generalizability of such methods. …”
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A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches by Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz

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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…BackgroundComputer-aided histopathological image analysis is increasingly used for image evaluation and decision-making in cancer patients. …”
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