A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…However, existing mathematical optimization algorithms, such as classic and metaheuristic methods, cannot solve the optimal switch placement problem for large-scale systems. …”
Get full text

A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…It highlighted the potential of feature-based subgrouping techniques in enhancing the efficacy of MAS algorithms in the field of medical image segmentation.…”
Get full text

Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…This article presents a workflow analysing the main controlling factors of oil saturation variation utilizing machine learning algorithms based on static and dynamic data from actual reservoirs. …”
Get full text

Parameter Estimation of Photovoltaic Models via Cuckoo Search by Jieming Ma, T. O. Ting, Ka Lok Man, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong

“…The proposed method outperforms other algorithms applied in this study.…”
Get full text

Robust Spectrum Sensing Demonstration Using a Low-Cost Front-End Receiver by Daniele Borio, Emanuele Angiuli, Raimondo Giuliani, Gianmarco Baldini

“…Spectrum Sensing (SS) is an important function in Cognitive Radio (CR) to detect primary users. The design of SS algorithms is one of the most challenging tasks in CR and requires innovative hardware and software solutions to enhance detection probability and minimize low false alarm probability. …”
Get full text

Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

“…Conclusions: Overall, for certain applications simple ML algorithms such as RF work well and can outperform more complex methods and that combining them with fragment-coloring can offer guidance for chemists to modify the structure with a desired property. …”
Get full text

Filtering in the presence of information losses based on the extended least squares method by V. M. Artemiev, A. O. Naumov

“…This approach leads to complex algorithms that are difficult to implement in practice. …”
Get full text

The Interaction of Iteration Error and Stability for Linear Partial Differential Equations Coupled through an Interface by B. Sheehan, D. Estep, S. Tavener, J. Cary, S. Kruger, A. Hakim, A. Pletzer, J. Carlsson, S. Vadlamani

“…The algorithms considered are based on the widely used approach of iteratively exchanging boundary condition data on the shared boundary at each time step. …”
Get full text

Multiple-Camera Patient Tracking Method Based on Motion-Group Parameter Reconstruction by Simeon Karpuzov, George Petkov, Stiliyan Kalitzin

“…Previously, we have developed algorithms for contactless patient tracking based on optical flow analysis. …”
Get full text

Dead Reckoning Using Play Patterns in a Simple 2D Multiplayer Online Game by Wei Shi, Jean-Pierre Corriveau, Jacob Agar

“…From analyzing this data, we identified play patterns, which we used to create three dead reckoning algorithms. We then used an extensive set of simulations to compare our algorithms with the IEEE standard dead reckoning algorithm and with the recent “Interest Scheme” algorithm. …”
Get full text

Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis by De-Cheng Feng, Bo Fu

“…The proposed approach is established based on the famous boosting-family ensemble machine learning (ML) algorithms, i.e., gradient boosting regression tree (GBRT), which generates a strong predictive model by integrating several weak predictors, which are obtained by the well-known individual ML algorithms, e.g., DT, ANN, and SVM. …”
Get full text

BIOMETRIC ACCESS CONTROL SYSTEMS BASED ON FINGERPRINTS by V. V. Starovoitov

“…Features of biometric access control system design for control people's access to certain facilitiesare described. Basic algorithms for fingerprint processing and analysis are given in details. …”
Get full text

Nash equilibria in the context of convex sets by Daina Sūdžiūtė

“…Necessary and sufficient conditions for existing of such Nash equilibria are obtained (in theorems 4 and 8), and the algorithms for calculating them too. Some ideas of convex analysis are employed. …”
Get full text

δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions by Hengrong Ju, Huili Dou, Yong Qi, Hualong Yu, Dongjun Yu, Jingyu Yang

“…Furthermore, with respect to criterions of decision-monotonicity and cost decreasing, two different algorithms are designed to compute reducts, respectively. …”
Get full text

Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

“…This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. …”
Get full text

Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…Notably, our research utilized a distinct dataset provided by the corresponding author, while alternative algorithms in our study achieved accuracies ranging from 85% to 90%. …”
Get full text

Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The introduction of the developed algorithms into the learning process of various architectures of multimodal neural network systems for analyzing heterogeneous data has made it possible to increase the accuracy of recognizing pigmented skin lesions by 2.33 – 5.69 percentage points, compared to the original optimization methods. …”
Get full text

Space-Based FPGA Radio Receiver Design, Debug, and Development of a Radiation-Tolerant Computing System by Zachary K. Baker, Mark E. Dunham, Keith Morgan, Michael Pigue, Matthew Stettler, Paul Graham, Eric N. Schmierer, John Power

“…This processing capability enables very advanced algorithms such as our wideband RF compression scheme to operate at the source, allowing bandwidth-constrained applications to deliver previously unattainable performance. …”
Get full text

Randomized and Efficient Time Synchronization in Dynamic Wireless Sensor Networks: A Gossip-Consensus-Based Approach by Nan Xiong, Minrui Fei, Taicheng Yang, Yu-Chu Tian

“…This paper proposes novel randomized gossip-consensus-based sync (RGCS) algorithms to realize efficient time calibration in dynamic wireless sensor networks (WSNs). …”
Get full text

An instruction dataset for extracting quantum cascade laser properties from scientific textDataverse by Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor

“…One of the main challenges in developing machine learning algorithms for extraction of QCL properties from text is lack of quality training data for these algorithms. …”
Get full text