Towards an Affordable Means of Surgical Depth of Anesthesia Monitoring: An EMG-ECG-EEG Case Study by Ejay Nsugbe, Stephanie Connelly, Ian Mutanga

“…In addition to this, we also propose a 2-phase modeling process that involves an algorithmic selection stage followed by a model deployment stage. …”
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Optimized integration algorithm model for stock price prediction with particle swarm optimization by Lin, Zhi

“…Building PSO-GBDT & PSO-RF model to solve the problems of stock prediction areas and obtain good performance from the combination of two algorithms. Selecting gradient boosting decision tree (GBDT) and random forest (RF) are the representative of integrated algorisms. …”
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A Survey of Post-Quantum Cryptography: Start of a New Race by Duc-Thuan Dam, Thai-Ha Tran, Van-Phuc Hoang, Cong-Kha Pham, Trong-Thuc Hoang

“…The movement opens up a promising avenue for researchers in public key cryptography and digital signatures, especially on algorithms selected by NIST.…”
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INTELLIGENT RECOGNITION OF PHYSICAL EDUCATION CURRICULUM RESOURCES BASED ON DEEP NEURAL NETWORK AND THE GAME MODEL STUDY by Xuelin Yang, Piyapong Sumettikoon, Xiang Wu

“…When the number of hidden layer nodes is 10, and the learning training algorithm selects the L-M optimization algorithm, the error between the actual output and the expected output of the network meets the requirements. …”
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Load balancing in 5G heterogeneous networks based on automatic weight function by Emre Gures, Ibraheem Shayea, Sawsan Ali Saad, Mustafa Ergen, Ayman A. El-Saleh, Nada M.O. Sid Ahmed, Mohammad Alnakhli

“…The proposed load balancing algorithm is compared with five other load balancing algorithms selected from the literature. The simulation results reveal that under various mobile speed scenarios, the proposed load balancing scheme enhances network performance in terms of load level, throughput, spectral efficiency and call dropping ratio (CDR).…”
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A Comprehensive Evaluation of Features and Simple Machine Learning Algorithms for Electroencephalographic-Based Emotion Recognition by Mayra Álvarez-Jiménez, Tania Calle-Jimenez, Myriam Hernández-Álvarez

“…The effectiveness of the input vectors for the classifiers was validated using SVM, KNN, and ANN, which are simple classification algorithms selected for their widespread use and better performance in the state of the art. …”
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri

“…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …”
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Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure by Martina Caruso, Carlo Ricciardi, Gregorio Delli Paoli, Fabiola Di Dato, Leandro Donisi, Valeria Romeo, Mario Petretta, Raffaele Iorio, Giuseppe Cesarelli, Arturo Brunetti, Simone Maurea

“…The best algorithm in terms of accuracy, sensitivity, specificity, and AUCROC was naive Bayes algorithm, selecting only laboratory parameters (TB and DB). …”
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Experimental Comparison of Two 6D Pose Estimation Algorithms in Robotic Fruit-Picking Tasks by Alessio Benito Alterani, Marco Costanzo, Marco De Simone, Sara Federico, Ciro Natale

“…The pure learning method considered in this comparison is DenseFusion, a consolidated state-of-the-art pose estimation algorithm selected because it uses the same input data, namely, RGB image and depth map. …”
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Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort by Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita Vale

“…Additionally, the operation cycle of a dishwasher is included, and the algorithm selects the best starting point based on the appliance weights and power availability in each period. …”
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An Algorithmic Approach for Detecting Bolides with the Geostationary Lightning Mapper by Clemens M. Rumpf, Randolph S. Longenbaugh, Christopher E. Henze, Joseph C. Chavez, Donovan L. Mathias

“…The filter performance is assessed on 144845 GLM L2 files (equivalent to 34 days-worth of data) and the algorithm selected 2252 filtered files (corresponding to a pass rate of 1.44%) with bolide-similar signatures. …”
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INTELLIGENT RECOGNITION OF PHYSICAL EDUCATION CURRICULUM RESOURCES BASED ON DEEP NEURAL NETWORK AND THE GAME MODEL STUDY by Xuelin Yang, Piyapong Sumettikoon, Xiang Wu

“…When the number of hidden layer nodes is 10, and the learning training algorithm selects the L-M optimization algorithm, the error between the actual output and the expected output of the network meets the requirements. …”
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Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature by David Freire, David Santos Mauricio Sanchez, Jose Luis Castillo Sequera, Daniel Fiallo Moncayo

“…Finally, in the realm of explainability, 4 out of 112 articles were found, detailing 5 techniques that help identify why an algorithm selects a customer as potential defector.…”
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A New Strategy for Bearing Health Assessment with a Dynamic Interval Prediction Model by Lingli Jiang, Heshan Sheng, Tongguang Yang, Hujiao Tang, Xuejun Li, Lianbin Gao

“…It is verified that the improved simulated annealing algorithm selects limited interval data, reconstructs health indicators based on bearing degradation curve and information fusion, and updates the Paris-DSSM state space equation through the particle filter algorithm. …”
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Efficient Integration of Fixed-Step Capacitor Banks and D-STATCOMs in Radial and Meshed Distribution Networks Considering Daily Operation Curves by Oscar Danilo Montoya, Walter Gil-González, Jesus C. Hernández

“…In the master stage, the discrete version of the generalized normal distribution optimization (GNDO) algorithm selects the nodes and the sizes of the capacitor banks. …”
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Blind Modulation Identification of Underwater Acoustic MPSK Using Sparse Bayesian Learning and Expectation Maximization by Tao Fang, Zhi Xia, Songzuo Liu, Xiongbiao Wu, Lanyue Zhang

“…This paper presents a likelihood-based algorithm for identifying different phase shift keying (PSK) modulations, i.e., BPSK, QPSK, and 8PSK. This algorithm selects the modulation type that maximizes a loglikelihood function that is based on the known original constellation associated with the constellation of the received signals for the candidate modulation types. …”
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Applying the Simple Partial Discard Method to Crystals-Kyber by Dongyoung Roh, Sangim Jung

“…Meanwhile, CRYSTALS-Kyber is the only public-key encryption and key-establishment algorithm selected for the post-quantum cryptography standardization project by NIST (National Institute of Standards and Technology). …”
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QoS Aware Data Congestion Control Routing in Mobile Ad Hoc Networks for Intelligent Transportations Systems by K. Muthulakshmi, K. Kalirajan, J. Jean Justus, P. Sivamalar

“…The proposed QoS-ADCC algorithm selects relay data packets between intersections based on QoS dynamic road segments, aiming for a straightforward and efficient routing mechanism. …”
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Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP by Md. Johir Raihan, Md. Al-Masrur Khan, Seong-Hoon Kee, Abdullah-Al Nahid

“…Furthermore, we have used Biogeography Based Optimization (BBO) algorithm to find an effective subset of the features. The BBO algorithm selected almost half of the initial features. …”
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Energy and Spectral-Efficient Lens Antenna Subarray Design in MmWave MIMO Systems by Liza Afeef, Gokhan Mumcu, Huseyin Arslan

“…The proposed precoding algorithm selects the beam of each lens from a predefined set within a subgroup that maximizes the subgroup sum-rate, while the phase shifters and digital precoders in each subgroup are computed independently. …”
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