Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach. by Mushtaq Hussain Khan, Shreya Macherla, Angesh Anupam

“…However, further improvements in sustainable crypto-assets through technological advances are required to develop more energy-efficient decentralised finance consensus algorithms, with the aim of reshaping the cryptocurrency ecosystem into an environmentally sustainable market.…”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

“…On this basis, a systematic review was conducted on the application and practical progress of DRL in quantitative trading in financial market, covering the application of different types of DRL, such as policy-based algorithm models, value-based algorithm models, and actor-critic algorithm models in quantitative trading in financial market. …”
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Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network by Hang Yang, Simon Fong, Raymond Wong, Guangmin Sun

“…Experiments show that our modified algorithm outperforms the original stream classification algorithm.…”
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Finding p-Hub Median Locations: An Empirical Study on Problems and Solution Techniques by Xiaoqian Sun, Weibin Dai, Yu Zhang, Sebastian Wandelt

“…Classical problems in small networks can be solved efficiently using CPLEX because of their low complexity. Genetic algorithms perform well for solving three types of single allocation problems, since the problem formulations can be neatly encoded with chromosomes of reasonable size. …”
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High Accuracy 2D-DOA Estimation for Conformal Array Using PARAFAC by Liangtian Wan, Weijian Si, Lutao Liu, Zuoxi Tian, Naixing Feng

“…The proposed algorithm can also be generalized to other conformal array structures and nonuniform noise scenario. …”
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Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety by Fahui Wang, Yongjie Lu, Haoyu Li

“…Finally, the actual control effect and feasibility of these control algorithms for heavy vehicle braking under special road conditions are verified by HIL experiments. …”
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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices by Pedro Juan Rivera Torres, Carlos Gershenson García, María Fernanda Sánchez Puig, Samir Kanaan Izquierdo

“…Correct system operation involves those activities and novel methodologies to detect, classify, and isolate faults and failures and model and simulate processes with predictive algorithms and analytics (using data analysis and asset condition to plan and perform activities). …”
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3G Long Term Evolution Baseband Processing with Application-Specific Processors by Perttu Salmela, Juho Antikainen, Teemu Pitkänen, Olli Silvén, Jarmo Takala

“…Implementing receivers conforming with the high-capacity transmission techniques is challenging due to the complexity and computational requirements of algorithms. In this study, the software defined radio (SDR) is targeted and the four essential baseband functions of the 3G LTE receiver, namely, list sphere decoding, fast Fourier transform, QR decomposition, and turbo decoding, are addressed and the functions are implemented as application specific processors (ASPs). …”
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Imaging Tasks Scheduling for High-Altitude Airship in Emergency Condition Based on Energy-Aware Strategy by Li Zhimeng, He Chuan, Qiu Dishan, Liu Jin, Ma Manhao

“…Finally, the application results and comparison analysis show that the proposed strategy and algorithm are effective and feasible.…”
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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

“…Experimental data collected from about 50 papers are analyzed by machine learning algorithms including linear regression, principal component analysis, Gaussian process regression, and artificial neural networks. …”
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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…The considerable number of brightness profiles coupled with manual reference measurements make the dataset well suited for developing an image-based deep CNN models or analytic algorithms for assessing crack widths in concrete. The technical validation study explored three factors that affect crack measurement: the specimen position in relation to the scanner, the surface moisture level, and the operator performing manual measurements.…”
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Optimization of Power Allocation for a Multibeam Satellite Communication System with Interbeam Interference by Heng Wang, Aijun Liu, Xiaofei Pan, Jiong Li

“…Compared with traditional power allocation algorithms, this proposed dynamic power allocation algorithm improves the fairness of the power allocation amongst the beams, and, in addition, the proposed algorithm also increases the total system capacity in certain scenarios.…”
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Using Burstiness for Network Applications Classification by Hussein Oudah, Bogdan Ghita, Taimur Bakhshi, Abdulrahman Alruban, David J. Walker

“…This work utilises tcptrace to extract features based on traffic burstiness and periods of inactivity (idle time) for the analysed traffic, followed by the C5.0 algorithm for determining the applications that generated it. …”
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Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice by Li Yang, Yuhui Wang, Haixia Li

“…According to the characteristics of the patients, the disease attributes are firstly divided into intrinsic invariant attributes and extrinsic variable attributes. The calculation algorithm of the linguistic truth-valued formal concepts and the constructing algorithm of the linguistic truth-valued concept lattice based on the extrinsic attributes are proposed. …”
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Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers by Yang Liu, Weidong Li

“…Furthermore, the adaptive update value of the neural networks, output weights, and bound function are performed online. All adaptive algorithms and the observer/controller are synthesized in nonlinear control systems. …”
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Simulation Optimization for the Multihoist Scheduling Problem by Ricardo Pérez-Rodríguez

“…In addition, the optimization approach is able to identify the best solutions by a distance-based ranking model and the solutions located in the first Pareto-front layer contributes to improve the search process of the aforementioned scheme, against other algorithms used in the comparison.…”
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A video steganalysis method based on coding cost variation by Jianyi Liu, Cong Zhang, Ru Zhang, Yi Li, Jie Cheng

“…Aiming at the problems existing in existing steganalysis algorithms, this article proposes Motion Vector Coding Cost Change video steganalysis features based on Improved Motion Vector Reversion-Based features and Subtractive Probability of Coding Cost Optimal Matching features based on Subtractive Probability of Optimal Matching features from the perspective of the change of coding cost. …”
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A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators by Qinqin Chen, Anning Ni, Chunqin Zhang, Jinghui Wang, Guangnian Xiao, Cenxin Yu

“…Three HAs are considered, including genetic algorithm (GA), evolutionary strategy (ES), and bat algorithm (BA). …”
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A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning by Rong Meng, Zhao-lei Wang, Zhi-long Zhao, Jian-peng Li, Wei-ping Fu

“…The average detection accuracy under multiple intersection ratio thresholds is also the highest, and the performance is better than the other three comparison algorithms.…”
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