Machine learning regression models and associated variables for predicting preoperative anxiety in paediatric patients by Abdul Rahman, Javed Khan Sheikh, Mohammad Sarwar Raeen

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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

Subjects: “…machine learning…”
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Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams by Ammar Akram Abdulrazzaq, Asaad T. Al-Douri, Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Zelalem Meraf

“…In order to automate this process, it is proposed in this work the application of deep learning methods for the detection of schistosomiasis eggs, and a comparison is made between two deep learning techniques, convolutional neural network (CNN) and structured pyramidal neural network (SPNN). …”
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Adaptation of the organizational strategy of the learning evaluation system in the internal medicine wards round performance. by Luis Alberto Corona Martínez, Juan Rivero Berovides

“…This strategy offers a more real and objective certificate of the resident´s competence in the fulfilment of their professional tasks and stimulates a process of learning directed to guarantee the application of knowledge and to form the students integrally…”
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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

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Challenges and solutions for the implementation of computer-based test learning evaluation at SMKN 2 Bandung by Azzahra Putri Imanda, Dea Apriliyani, Dewi Allyya Suci Putri Anjani

“…The research objectives are: (1) describing CBT planning as a learning evaluation, (2) explaining CBT execution to enhance students' honesty in final exams at SMKN 2 Bandung, and (3) analyzing CBT results as a learning evaluation of students' honesty. …”
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Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning by S. Prasath, Ramkumar Govindaraj, Ram Subbiah, Sulaiman Ali Alharbi, Hesham S. Almoallim, S. Priya, Begna Dejene Mulugeta

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Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations by Dimitrios-Ioannis Kasartzian, Thomas Tsiampalis

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Analysis of Option Butterfly Portfolio Models Based on Nonparametric Estimation Deep Learning Method by Xiangyu Ge, Xia Zhu, Gang Bi, Hao Zheng, Qing Li

“…In reality, because the distribution of the option state price density (SPD) function is not normal and unknown, so the nonparametric deep learning methods to estimate option butterfly portfolio returns are proposed. …”
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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

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Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

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A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects by Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu

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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

“…Abstract Accelerating the discovery of novel crystal materials by machine learning is crucial for advancing various technologies from clean energy to information processing. …”
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Learning digital medical environment as a tool of teaching computer science to medical students by Vadim V. Grinshkun, Kristina S. Itinson

“…The main advantage of the developed learning digital medical environment is its universality, as it is suitable for a doctor of any specialty, providing continuous interaction between them. …”
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Deep learning‐based unmanned aerial vehicle detection in the low altitude clutter background by Zeyang Wu, Yuexing Peng, Wenbo Wang

Subjects: “…deep learning…”
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Solar photovoltaic panel cells defects classification using deep learning ensemble methods by H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes

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What is the learning effect of video review in postgraduate medical education: a systematic review by Marieke Robbrecht, Myriam Van Winckel, Antonius Mulder, Mieke Embo

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Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems by David Gil, Magnus Johnsson, Higinio Mora, Julian Szymanski

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Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends by Nafiseh Ghasemi, Jon Alvarez Justo, Marco Celesti, Laurent Despoisse, Jens Nieke

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Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes by Hamzah Abdel-Aziz, Xenofon Koutsoukos

“…In this paper, we introduce an online model learning methodology to identify a nonparametric dynamical model for buildings when the thermal load is latent (i.e., the thermal load cannot be measured). …”
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