Privacy protection key distribution protocol for edge computing by Jian SHEN, Tianqi ZHOU, Chen WANG, Huijie YANG

“…Aiming at the privacy protection problem in the multi-application scenarios of edge computing, two policy-based key distribution protocols were proposed.The proposed protocols are based on the concept of constrained pseudo-random functions to achieve efficient and flexible policy selection.Specifically, based on the GGM pseudo-random number generator, the key distribution protocol with a prefix-predicate is constructed, which can effectively support lightweight and efficient key distribution.Moreover, based on the multilinear pairing, the key distribution protocol with a bit fixing predicate is constructed.This protocol can support flexible and fine-grained strategy selection and is suitable for dynamic and flexible multi-device scenarios in heterogeneous networks.Finally, the security proof of the proposed protocols is presented.…”
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The impact of maximum cross-sectional area of lesion on predicting the early therapeutic response of multidrug-resistant tuberculosis by Fuzhen Zhang, Yu Zhang, Zilong Yang, Ruichao Liu, Shanshan Li, Yu Pang, Liang Li

“…In the testing cohort, logistic regression and random forest models achieved AUC values of 0.889 and 0.855, respectively. …”
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On the Search for Supersingular Elliptic Curves and Their Applications by Ismel Martinez-Diaz, Rashad Ali, Muhammad Kamran Jamil

“…The conventional method of employing random search is quite ineffective in finding these curves. …”
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The Conservative Physiology of the Immune System. A Non-Metaphoric Approach to Immunological Activity by Nelson M. Vaz, Gustavo C. Ramos, Vitor Pordeus, Claudia R. Carvalho

“…This association has had major consequences: (1) immunological jargon is full of “cognitive” metaphors, founded in the idea of “foreignness”; (2) the immune system is described with a random clonal origin, coupled to selection by random encounters; and (3) physiological events are virtually absent from immunological descriptions. …”
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Midcourse Guidance Law Based on High Target Acquisition Probability Considering Angular Constraint and Line-of-Sight Angle Rate Control by Xiao Liu, Shengjing Tang, Jie Guo, Yuhang Yun, Zhe Chen

“…Random disturbance factors would lead to the variation of target acquisition point during the long distance flight. …”
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Robust Optimization of Planar Constrained Mechanical System with Varying Joint Clearance Size Based on Sensitivity Analysis by Yong Gao, Fang Zhang, Yuanyuan Li

“…This paper is devoted to a general methodological study on sensitivity analysis and robust optimization for a planar crank-slider mechanism in presence of joint clearances and random parameters and investigate the effects of parameter uncertainty on optimization results when joint clearance sizes are constantly changing due to wear. …”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

“…The study also employed Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Random Forest (RF) algorithms to predict Peak Particle Velocity (PPV) values. …”
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ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net by Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Israa Khalaf Salman Al-Tameemi, Wonjoon Kim

“…In tree-based algorithms like random forest and deep forest, due to the presence of numerous inefficient trees and forests in the model, the computational load increases and the efficiency decreases. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…The Random Forest Regressor (RFR) performance yields the local machine learning models against each selected site. …”
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Evaluation of Recombinant Antibody Production Efficiency in CHO Cells with Sleeping Beauty Transposon Vector System by Pelin Kolçak Yaşlı, Seda Kulabaş, Evren Doruk Engin

“…This study aims to demonstrate the differences in production potential and selection periods by using a specially designed vector system for random genome integration in CHODG44 DHFR -/- cells and the Sleeping Beauty (SB) transposon system. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

“…The random forest model is shown to be the most accurate in predicting solar irradiation. …”
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Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

“…In first case, it formulates an equitable color-class-size constrained coloring problem on the conflict graph and solves it by developing deterministic and random algorithms. In second case, the paper formulates a problem of weighted defective color-count constrained coloring of the conflict graph and solves it by developing a random algorithm. …”
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

“…Using the Random Forest model, essential factors were emphasized, and with the aid of SHAP, we accessed the interaction of these factors. …”
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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

“…This study proposes a Hybrid Feature Selection and Deep Learning Framework (HFSDLF) that integrates Random Forests with Principal Component Analysis (PCA) and L1 regularization for effective feature selection and classification. …”
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Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample by Meimei Liu, TuongVan Vu, Nienke van Atteveldt, Martijn Meeter

“…Reciprocal effects between value of education and academic achievement were found in classic cross-lagged panel models, but only unilateral effects (from achievement to value of education) were found when we used random-intercept and random-curve cross-lagged panel models. …”
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Adoption of ICT banking services and performance of selected commercial banks in Kabale municipality: A case of equity and Stanbic Bank by Denis, Ndayambaje

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