A vertical handover management for mobile telemedicine system using heterogeneous wireless networks by Yew, Hoe Tung, Eko Supriyanto, M Haikal Satria, Hau, Yuan wen

“…In this paper, a novel telemedicine based handover decision making (THODM) algorithm is proposed for mobile telemedicine system using heterogeneous wireless networks. The proposed algorithm select the best network based on the services requirement to ensure the connected or targeted network candidate has sufficient capacity for supporting the telemedicine services. …”
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Finite Control Set Model Predictive Current ControlFCS-MPC Based on Cost Function Optimization,with Current Limit Constraints for Four-Leg VSI by Riyadh G. Omar, Rabee' H. Thejel

“…A Matlab/Simulink model for the Finite Control Set Model Predictive current Control FCS-MPC based on cost function optimization, with current limit constraints for four-leg VSI is presented in this paper, as a new control algorithm. The algorithm selects the switching states that produce minimum error between the reference currents and the predicted currents via optimization process, and apply the corresponding switching control signals to the inverter switches. …”
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Multi-Harmonic Source Localization Based on Sparse Component Analysis and Minimum Conditional Entropy by Yongzhen Du, Honggeng Yang, Xiaoyang Ma

“…Under the condition that the network impedance is unknown and the number of harmonic sources is undetermined, the measurement node configuration algorithm selects the node position to make the separated harmonic current more accurate. …”
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Data Mining Approach for Predicting Learner's Achievement by Naofal Mohamad Hassin Azeez

“…Attribute selection algorithm selects the most relevant attributes set by the calculations of an evaluation function. …”
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Examination of Variables Affecting Dividend Forecast Using Hybrid Models of PSO-LARS and PSO-SVR Algorithms by Mahdi Salehi, Zohreh Aminifard

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Identifying incident dementia by applying machine learning to a very large administrative claims dataset. by Vijay S Nori, Christopher A Hane, David C Martin, Alexander D Kravetz, Darshak M Sanghavi

“…Using a national de-identified dataset of more than 125 million patients including over 10,000 clinical, pharmaceutical, and demographic variables, we developed a cohort to train a machine learning model to predict ADRD 4-5 years in advance. The Lasso algorithm selected a 50-variable model with an area under the curve (AUC) of 0.693. …”
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Weighted centroid localization algorithm based on node cooperation in coal mine underground by ZHAO Tong, LI Xiansheng, ZHANG Lei, DING Enjie, HU Yanjun

“…Under the ZigBee communication environment, the algorithm selects virtual reference node (unknown node that has been located) at a close distance to cooperate localization with reference node in long-distance roadway, and uses improved small-area triangle weighted centroid localization algorithm to locate the unknown node, uses coordinate correction method to determine position of unknown node. …”
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Data Mining Approach for Predicting Learner's Achievement by Naofal Mohamad Hassin Azeez

“…Attribute selection algorithm selects the most relevant attributes set by the calculations of an evaluation function. …”
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A dialogic analysis of Hello Barbie’s conversations with children by Valerie Steeves

“…The doll uses voice recognition software to ‘listen’ to the child and ‘talk back’ by algorithmically selecting a response from 8000 predetermined lines of dialogue. …”
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A Routing Algorithm Solving the Container Problem in a Hypercube with Bit Constraint by Antoine Bossard, Keiichi Kaneko

“…The introduction of such bit constraint enables the selection of multiple sets of disjoint paths between several node pairs each satisfying a distinct bit constraint, which is impossible with conventional routing algorithms. Selecting simultaneously disjoint paths between different node pairs induces increased communication performance and system dependability. …”
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Affective Encounters of the Algorithmic Kind: Post-Truth and Posthuman Pleasure by Ignas Kalpokas

“…However, the same political actors are simultaneously reduced to mouthpieces for algorithmically selected utterances instead of themselves being active shapers of political strategy. …”
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Automatic Identification and Forecasting of Structural Unobserved Components Models with UComp by Diego J. Pedregal

“…One of the most outstanding features that makes UComp unique among its class of related software implementations is that models may be built automatically by identification algorithms (three versions are available). These algorithms select the best model among many possible combinations. …”
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Data Mining Approach for Predicting Learner's Achievement by Naofal Mohamad Hassin Azeez

“…Attribute selection algorithm selects the most relevant attributes set by the calculations of an evaluation function. …”
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Hyperparameter Optimization of Opaque Models for Autonomous Vehicle Algorithms by Ahmadi, Elaheh

“…We surveyed different hyperparameter optimization algorithms, selected the most effi- cient ones in different scenarios, and developed a framework that can be easily utilized by different users. …”
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Prediction of solar energy and radiation in Singapore by Lee, Jian Wei.

“…In this project, we used the training datasets to teach the ANN so that the network could give us the desired output. The learning algorithm selected in this project was BackPropagation (BP). …”
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Thermographic image processing analysis in a solar concentrator with hard C-means clustering by Marco A. Flores, Fernando E. Serrano, Carlos Cadena, Jose C. Alvarez

“…The three steps of this investigation are: (i) the edges of each thermographic image are obtained by means of a Butterworth low-pass filter, (ii) the temperature grid in the solar concentrator is obtained by means of a feature extraction algorithm, and finally: (iii) the classification will be done through a C-means hard clustering algorithm selecting the center of each cluster to accurately find the temperature region to generate the isotherms and extract the temperatures with this algorithm. …”
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Identification Algorithm Based on Key-Point Detection Network for Vital Parts of Infrared Aerial Target

“…The traditional image processing algorithms select features and designs classifiers according to human prior knowledge, but this has some limitations. …”
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Effective sensor positioning to localize target transmitters in a Cognitive Radio Network by Audri Biswas, Sam Reisenfeld, Mark Hedley, Zhuo Chen

“…This paper introduces a novel minimum distance separation aided compressive sensing algorithm (MDACS). The algorithm selectively eliminates Secondary User (SU) power observations from the set of SU receiving terminals such that pairs of the remaining SUs are separated by a minimum geographic distance.We have evaluated the detection of multiple sparse targets locations and error in l2-norm of the recovery vector. …”
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A Comparison Study between Traditional and Deep-Reinforcement-Learning-Based Algorithms for Indoor Autonomous Navigation in Dynamic Scenarios by Diego Arce, Jans Solano, Cesar Beltrán

“…Based on the identified algorithms, a comparison of these traditional and DRL-based algorithms was made, using a robotic platform to evaluate their performance, identify their advantages and disadvantages and provide a recommendation for their use, according to the development requirements of the robot. The algorithms selected were DWA, TEB, CADRL and SAC, and the results show that—according to the application and the robot’s characteristics—it is recommended to use each of them, based on different conditions.…”
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A new approach for generator startup sequence online decision making with a heuristic search algorithm and graph theory by Zirui Wu, Wenwen Xu, Changcheng Li, Xiangfei Meng

“…Depth-First Search detects 42 restoration paths, and Yen’s Algorithm selects three most reasonable paths from them, which greatly improves the efficiency of online decision making.…”
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