Delineation of the Topoclimates of Eastern Cuba by Local Weather Patterns and Unsupervised Machine Learning by Arisleidys Peña-De la Cruz, Ricardo Delgado-Téllez, Yusmira Savón-Vaciano, Mingtao Ding

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Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review by Glory O. Adebayo, Roman V. Yampolskiy

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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

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Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

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Identifying the Origin of Cyber Attacks Using Machine Learning and Network Traffic Analysis by Du Tianqing

“…This paper introduces an effective method of internet protection—machine learning. A common technique in the modern world, machine learning offers significant insights into locating the IP address and data origin. …”
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Machine learning photodynamics decode multiple singlet fission channels in pentacene crystal by Zhendong Li, Federico J. Hernández, Christian Salguero, Steven A. Lopez, Rachel Crespo-Otero, Jingbai Li

“…Here we combine a multiscale multiconfigurational approach and machine learning photodynamics to understand competing singlet fission mechanisms in crystalline pentacene. …”
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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

Subjects: “…machine learning…”
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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

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Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

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Overview of soil organic carbon mapping using machine learning algorithms in Africa by Yassine Bouslihim, Rachid Aboutayeb, Tarik Benabdelouahab

“…This review provides an overview of the application of machine learning (ML) for Soil Organic Carbon (SOC) and Soil Organic Matter (SOM) mapping in African countries, highlighting its significance for agricultural productivity and environmental sustainability. …”
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Evaluation Method of Street Green Landscape Viewing Degree Based on Machine Learning by Tieming Wang, Mengyu Liu, Wenhua Huang

“…In order to change this situation, this paper combined machine learning with the evaluation method of street green landscape viewing degree and conducted experiments on it based on machine learning. …”
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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…We conducted a systematic review and random-effect meta-analysis summarizing predictive model development and validation studies using machine learning in diverse samples to predict PTSD. Model performances were pooled using the area under the curve (AUC) with a 95% confidence interval (CI). …”
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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…Abstract This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

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Skillful prediction of Indian Ocean Dipole index using machine learning models by J.V. Ratnam, Swadhin K. Behera, Masami Nonaka, Kalpesh R. Patil

“…In this study, we evaluated six machine learning models for their skill in predicting the Indian Ocean Dipole (IOD). …”
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Machine learning for QoS and security enhancement of RPL in IoT-Enabled wireless sensors by Abubakar Wakili, Sara Bakkali, Ahmed El Hilali Alaoui

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Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…On the basis of traditional credit risk control, this paper proposes the demand and direction of a new credit risk control strategy based on machine learning and relying on big data. First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. …”
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