An Adaptive Handover Prediction Scheme for Seamless Mobility Based Wireless Networks by Ali Safa Sadiq, Norsheila Binti Fisal, Kayhan Zrar Ghafoor, Jaime Lloret

“…We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. …”
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An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive by Adeola Balogun, Sodiq Agoro, Sunday Adetona, Ayobami Olajube, Frank Okafor

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Modeling and prediction of HIV in China: transmission rates structured by infection ages by Yicang Zhou, Yiming Shao, Yuhua Ruan, Jianqing Xu, Zhien Ma, Changlin Mei, Jianhong Wu

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In Situ Stress Prediction in Subsurface Rocks: An Overview and a New Method by Yushuai Zhang, Shangxian Yin, Jincai Zhang

“…Methods for determining in situ stresses are reviewed, and a new approach is proposed for a better prediction of the in situ stresses. For theoretically calculating horizontal stresses, horizontal strains are needed; however, these strains are very difficult to be obtained. …”
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Multi-Object Tracking with Predictive Information Fusion and Adaptive Measurement Noise by Xiaohui Cheng, Haoyi Zhao, Yun Deng, Shuangqin Shen

“…To reduce dependence on detection outputs, we propose a method that integrates predictive information to improve Non-Maximum Suppression (NMS). …”
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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira, Jessica N. A. Campbell

“…This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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Task-specific temporal prediction mechanisms revealed by motor and electroencephalographic indicators by Alana Arrouet, José Eduardo Marques-Carneiro, Pierre Marquet, Anne Giersch

Subjects: “…Temporal predictions…”
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Urinary Podocyte Excretion Predicts Urinary Protein Selectivity and Renal Prognosis by Makoto Abe, Akiko Kaiga, Takehiro Ohira, Toshihiko Ishimitsu, Akihiro Tojo

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House Price Prediction: A Multi-Source Data Fusion Perspective by Yaping Zhao, Jichang Zhao, Edmund Y. Lam

Subjects: “…price prediction…”
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A Prediction Model for Concrete Cracks due to Chloride-Induced Corrosion by Jiao Wang, Ling Li, X. G. Zhang, Yangang Zhao

“…The analytical model proposed in this paper has an accuracy of 92%, indicating that our expression for crack spacing can effectively predict the location of cracks.…”
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Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle by Nazira Mammadova, İsmail Keskin

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Prediction Score for Cervical Spine Fracture in Patients with Traumatic Neck Injury by Natsinee Athinartrattanapong, Chaiyaporn Yuksen, Sittichok Leela-amornsin, Chetsadakon Jenpanitpong, Sirote Wongwaisayawan, Pittavat Leelapattana

“…This study included all patients aged over 16 years who had suspected cervical spine injury and underwent a computed tomography scan at the emergency department. The predictive model and prediction scores were developed via multivariable logistic regression analysis. …”
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Time Synchronization for Wireless Sensor Networks Using Adaptive Linear Prediction by Yulong Xing, Yongrui Chen, Weidong Yi, Chenghua Duan

“…Considering that the synchronization errors are highly temporally correlated (short-term correlation), in this paper, we present an adaptive linear prediction synchronization (ALPS) scheme for WSN. By applying linear prediction on synchronization errors and adaptively adjusting prediction coefficients based on the difference between the estimated values and the real values, ALPS enhances synchronization accuracy at a relatively low cost. …”
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Prediction of Microcystis Blooms Based on TN:TP Ratio and Lake Origin by Yoshimasa Amano, Motoi Machida, Hideki Tatsumoto, Dennis George, Sharon Berk, Kazuo Taki

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The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies by Dawei Shi, Chao Li, Zhu Zhu, Runqing Lv, Shengjie Chen, Yunfeng Zhu

“…The results show that the prediction model of Spring Kuroshio SST based on CHAID algorithm has a high prediction accuracy, with the reasonable and effective model and the well-thought-out decision rules. …”
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Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…With the rapid development of data analytics in sports, it is vital to use machine learning methods to make decisions and predictions. This study focuses on predicting NBA playoff qualifications using machine learning techniques. …”
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Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China by Chunhong Zhao, Xiangzheng Deng, Yongwei Yuan, Haiming Yan, Hong Liang

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Magnetic resonance imaging-based deep learning for predicting subtypes of glioma by Zhen Yang, Zhen Yang, Peng Zhang, Yi Ding, Liyi Deng, Tong Zhang, Yong Liu

“…The receiver operating characteristic curve (ROC), area under the curve (AUC) of the ROC were generated in the jupyter notebook tool using python language to evaluate the accuracy of the models in classification and comparing the predictive value of different MRI sequences.ResultsIDHwt, IDHmut-intact and IDHmut-codel were the best classified in the model containing only FLAIR sequences, with test set AUCs of 0.790, 0.737 and 0.820, respectively; and the worst classified in the model containing only T1w sequences, with test set AUCs of 0.621, 0.537 and 0.760, respectively.ConclusionWe have developed a set of models that can effectively classify glioma subtypes and that work best when only the FLAIR sequence model is included.…”
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Single-step retrosynthesis prediction via multitask graph representation learning by Peng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, Qi-Hao Wang, Jia-Ning Li, Jie Shang, Cheng Lu, Jian-Yu Shi

“…It develops a multitask graph representation learning model for single-step retrosynthesis prediction (Retro-MTGR) to solve reaction centre deduction and LG identification simultaneously. …”
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