Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…XGBoost emerged as the top performing algorithm, achieving an AUC of 0.94 and an accuracy of 0.875 on the test set, marking substantial improvements over previously reported best results. …”
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Open-Source Software for Building-Integrated Photovoltaic Tiling for Novelty Architecture by Alexander W. H. Chin, Koami Soulemane Hayibo, Joshua M. Pearce

“…The results show that the energy yield of the BIPV increases as the building becomes more detailed while the total power and energy decrease, indicating the need for the careful balancing of priorities in building design. …”
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Treatment tactics for acute anterior cruciate ligament ruptures by D. Yu. Pupynin, A. V. Lychagin, A. A. Gritsyuk

“…During the dynamic study for 5 years, relapses of anteromedial instability of the knee joint were detected in 10 patients, which amounted to 13.9%, while in 4 patients in group I (10.3%), in group II in 6 patients (18.2%).CONCLUSION. …”
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Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype by Linlin Sun, Xiubo Chen, Zixu Chen, Linlong Jing, Jinxing Wang, Xinpeng Cao, Shenghui Fu, Yuanmao Jiang, Hongjian Zhang

“…The phenotypic features, including sphericity, particle size, and texture, of three commonly used controlled-release fertilizers were obtained using machine vision, while the crushing force was measured using a universal testing machine. …”
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A rasterization-based ray-tracing method for laser–plasma interactions by Tao Tao, Zhujun Li, Kejian Qian, Xian Jiang, Guannan Zheng, Rui Yan, Haoran Liu, Qing Jia, Jun Li, Hang Ding, Jian Zheng

“…The proposed approach utilizes adaptive-step Runge–Kutta integration to compute ray trajectories while incorporating an innovative rasterization step for ray energy deposition. …”
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Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

“…Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. …”
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Change Detection Based on Image Standardization and Improved Residual Network for Single-Polarization SAR Images by Mengmeng Wang, Jixian Zhang, Guoman Huang, Lijun Lu, Fenfen Hua

“…However, preclassification images are often generated using intensity-based CD algorithms that rely on SAR magnitude images without considering phase information. …”
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Machine Learning Using Approximate Computing by Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell

“…This work analyzes the application of approximate computing for machine learning, specifically focusing on k-means clustering, one of the more widely used unsupervised machine learning algorithms. The k-means algorithm partitions data into k clusters, where k also denotes the number of centroids, with each centroid representing the center of a cluster. …”
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Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data by Bappa Roy, Shuma Adhikari, Subir Datta, Kharibam Jilenkumari Devi, Aribam Deleena Devi, Taha Selim Ustun

“…Maximum Power Point Tracking (MPPT) is essential for maximizing the efficiency of solar photovoltaic (PV) systems. While numerous MPPT methods exist, practical implementations often lean towards conventional techniques due to their simplicity. …”
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Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model by Ahmed Sayed, Khaled Al Jaafari, Xian Zhang, Hatem Zeineldin, Ahmed Al-Durra, Guibin Wang, Ehab Elsaadany

“…To address these limitations, this paper proposes an efficient DRL algorithm with a physics-driven critic model, namely a differentiable holomorphic embedding load flow model (D-HELM). …”
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Optimization of Shift Strategy Based on Vehicle Mass and Road Gradient Estimation by Huijun Yue, Haobo Jing, Zhenkun Dai, Jinyu Lin, Zihan Ma, Changtong Zhao, Pan Zhang

“…The HIL experimental results show that the vehicle can maintain low gear while climbing the hill, and the vehicle speed does not decrease significantly.…”
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Evolving rifampicin and isoniazid mono-resistance in a high multidrug-resistant and extensively drug-resistant tuberculosis region: a retrospective data analysis by Koleka Mlisana, Nomonde Ritta Mvelase, Yusentha Balakrishna, Keeren Lutchminarain

“…The proportion of rifampicin resistant cases that were mono-resistant increased from 15.3% in 2011 to 21.4% in 2014 while INH mono-resistance (IMR) showed a range between 13.8% and 21.1%. …”
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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…We used the OpenPose algorithm to detect and extract key body points to calculate relevant biomechanical features. …”
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Modelos univariados de séries temporais para previsão das temperaturas médias mensais de Erechim, RS Univariate time series methods for forecasting the monthly mean air temperature... by Leonardo Chechi, Fábio M. Bayer

“…The ARIMA class models proved to be more accurate while the adjusted models were adequate for adjusting forecasts of variables of air temperature, being important tools for agricultural climatology.…”
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AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…To address the above issues, we produce a private dataset containing 2436 images of ships in a variety of scenarios and propose an algorithm (AILDP) for interactive feature learning and adaptive enhancement to tackle multiple challenges in ship number recognition. …”
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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

“…A well-known outlier detection algorithm is applied on the gathered data to assess the data reliability before model development. …”
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Speech-Controlled Reconfigurable Intelligent Metasurface for Real-Time Wireless Power Transfer and Communication by Lin Dong, Liming Si, Yueze Liu, Qitao Shen, Pengcheng Tang, Genhao Wu, Rong Niu, Qingqing Wu, Weiren Zhu

“…The experimental results confirm the effectiveness of the speech-controlled RIS, while the measured results demonstrate that the RIS can provide a stable dc output that exceeds 4.61 V on dynamic targets. …”
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Geometric Mean Rate Maximization in RIS-Aided mmWave ISAC Systems Relying on a Non-Diagonal Phase Shift Matrix by Jitendra Singh, Aditya K. Jagannatham, Lajos Hanzo

“…Furthermore, we compare the results to the pertinent benchmarks, which validate the effectiveness of our proposed algorithms.…”
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Mining hypertension predictors using decision tree: Baseline data of Kharameh cohort study by abbas Rezaianzadeh, Samane Nematolahi, maryam jalali, Shayan Rezaeianzadeh, Masoumeh Ghoddusi Johari, Seyed Vahid Hosseini

“… Background: Hypertension is a serious chronic disease and an important risk factor for many health problems. this study aimed to investigate the factors associated with hypertension using a decision-tree algorithm. Methods: this cross-sectional study was conducted in Kharameh city between 2014-2017 through census. …”
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Multimodal Imaging of Diabetic Retinopathy: Insights from Optical Coherence Tomography Angiography and Adaptive Optics by Andrada-Elena Mirescu, Dan George Deleanu, Sanda Jurja, Alina Popa-Cherecheanu, Florian Balta, Gerhard Garhofer, George Balta, Irina-Elena Cristescu, Ioana Teodora Tofolean

“…OCTA images of the superficial capillary plexus, acquired with the OCT Angio Topcon, were analyzed using a custom-developed MATLAB algorithm, while AO retinal vascular images were evaluated with the manufacturer’s software of the Adaptive Optics Retinal Camera rtx1™. …”
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