Smart homes energy management: Optimal multi-objective appliance scheduling model considering electrical energy storage and renewable energy resources by Moslem Dehghani, Seyyed Mohammad Bornapour

“…An improved Biogeography-based optimization algorithm (IBBO) is used to solve the multi-objective problem. …”
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Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…Besides, the optimal solution also satisfied the declared constraints as well as the standards for bus voltage, line current, and harmonic distortions.…”
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Diagnostic challenges of heart failure with preserved ejection fraction: focus on echocardiography by A. A. Ivanova, O. N. Dzhioeva, E. A. Lavrenova, E. A. Rogozhkina, O. M. Drapkina

“…It is necessary to develop diagnostic algorithms based mainly on clinical and anam­nestic data and available for use by doctors of any specialty.…”
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Subungual melanoma in the practice of surgeon and oncologist by M. Y. Myasnyankin, G. I. Gafton, V. V. Anisimov

“…Subungual melanoma is a rare malignancy of which practitioners in various fields including oncologists know little; the work, therefore, is of great practical importance, since it could improve the diagnosis of melanoma not only by oncologists, but also by surgeons, general practitioners, dermatologists and other specialists. …”
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Modeling of cross line operation of urban rail transit trains based on passenger travel time by LUO Qin, LIN Bin, GU Mengqi, YANG Liang, ZHANG Xiaochun

“…Cross line operation mode of urban rail transit can not only meet diversified travel needs of passengers and improve efficiency of passenger travel, but also shorten the time and space distance between suburban and urban core areas. …”
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A new relaxation technique based on fractional representation to solve bilinear models: Application to the long horizon crude oil scheduling problem by Mohammad Nasir Yarahmadi, Seyyed Ali MirHassani, Farnaz Hooshmand

“…To evaluate the performance of the algorithm, it is compared to the recently addressed iterative MILP-NLP algorithm based on piecewise McCormick relaxation techniques over a variety of instances. …”
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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method by Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

“…Additionally, to facilitate the shape optimization of the muffler, a polynomial neural network model is adopted to serve as an objective function; also, a Genetic Algorithm (GA) is linked to the OBJ function. …”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

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DGA domain detection and botnet prevention using Q-learning for POMDP by Y. V. Bubnov, N. N. Ivanov

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Statistical Inferences to the Parameter and Reliability Characteristics of Gamma-mixed Rayleigh Distribution under Progressively Censored Data with Application by Kousik Maiti, Suchandan Kayal

“…We compute MLEs using the expectation-maximization (EM) algorithm. Asymptotic confidence intervals are constructed. …”
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Machine Learning Models for Artist Classification of Cultural Heritage Sketches by Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop, Alecsandru Chirosca

“…Modern computer vision algorithms allow researchers and art historians to search for artist-characteristic contour extraction from sketches, thus providing accurate input for artwork analysis, for possible assignments and classifications, and also for the identification of the specific stylistic features. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The golden jackal optimization (GJO) algorithm is employed to optimize the key parameters of the VMD, enabling effective signal decomposition. …”
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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

“…Some technical aspects were also discussed as key points to enable high-throughput fitting of multimode models of TSDC using the proposed formalism, such as the use of the peak temperature as a fitting parameter, which is easily estimated from measured data, instead of a pre-exponential factor that varies by orders of magnitude, and the use of the generalised exponential integral function to speed up the fitting algorithm.…”
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BSO-CNN: A BSO Pressure Optimized CNN Model for Water Distribution Networks by Waghmare Shwetambari Pandurang, Renu Praveen Pathak, Imtiyaz Ahmad Wani

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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…These experiments confirmed that this new method model could effectively reduce algorithm costs. The accuracy of this method was 5.02% higher than multi-objective genetic algorithm, 3.72% higher than the multi-objective artificial ant colony algorithm, and 2.67% higher than the multi-objective particle swarm algorithm. …”
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Control Strategy of In-Port U-Turn for Ships Based on Arctangent Function Nonlinear Feedback by Shihang Gao, Xianku Zhang

“…The strategy integrates a closed-loop gain-shaping algorithm with nonlinear feedback control, applied to a nonlinear motion mathematical model specifically designed for low-speed operations in shallow waters. …”
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UAM Vertiport Network Design Considering Connectivity by Wentao Zhang, Taesung Hwang

“…The results show that the proposed hybrid methodology not only yields high-quality solutions but also significantly reduces computational time, enabling faster convergence. …”
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Topological graphs: a review of some of our achievements and perspectives in physical chemistry and homogeneous catalysis by Bougueroua, Sana, Aboulfath, Ylène, Cimas, Alvaro, Hashemi, Ali,  Pidko, Evgeny A., Barth, Dominique, Gaigeot, Marie-Pierre

“…This paper reviews some of our developments in algorithmic graph theory, with some applications in physical chemistry and catalysis. …”
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Probabilistic optimal power flow in wind energy integrated power system based on the K‐medoids data clustering method considering correlated uncertain variables by Saeed Badoozadeh, Nazila Nikdel, Sadjad Galvani, Mohammad Farhadi‐Kangarlu

“…The probabilistic assessment is conducted by the K‐medoids method and the optimization problem is solved by the cooperation search algorithm (CSA) as an efficient evolutionary algorithm. …”
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Exploring the mechanisms of chronic obstructive pulmonary disease and Crohn’s disease: a bioinformatics-based study by Xinxin Zhang, Caiping Liu, Luqian Cao, Hongguang Tang, Haiyun Jiang, Changjing Hu, Xuehong Dong, Feiyang Zhou, Kunming Qin, Qiang Liu, Jinyang Shen, Yue Zhou

“…In addition, the study also analyzed the association between coDEGs and immune cell infiltration using the single-sample gene set enrichment algorithm (ssGSEA). …”
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