Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
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Study on Operation Control Strategy for Campus Public Building Heating Systems in Severe Cold Areas by Chuntian Lu, Shourui Xue, Yuetong Zhang, Songqing Wang

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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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Analysis and implementation of variable frequency controlled dynamic wireless charging system with half-bridge multi-leg converter topology by Aganti Mahesh, Bharatiraja Chokkalingam, Sanjeevikumar padmanaban, C. Santhakumar

“…In this method, the Variable Frequency Control Technique (VFCT) is introduced in half-bridge DWCS with S-S and LCC-S compensations. …”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…This correlation's linear regression was used to calculate dose rates, leading to the successful development of a grid-based prescription map in ISO-XML format, compatible with ISOBUS Task Controller functionality. The resulting map enables variable dose rates per meter of the leaf wall, allowing independent adjustments for the left and right sides of the sprayer simultaneously.…”
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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
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NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy by Axel Vaillant, Grégory Beurier, Denis Cornet, Lauriane Rouan, Denis Vile, Cyrille Violle, François Vasseur

“…Summary Near-infrared spectroscopy (NIRS) has become a popular tool for investigating phenotypic variability in plants. We developed the Shiny NIRSpredict application to get predictions of 81 Arabidopsis thaliana phenotypic traits, including classical functional traits as well as a large variety of commonly measured chemical compounds, based from near-infrared spectroscopy values based on deep learning. …”
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Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt by Jiquan Chen, Ranjeet John, Venkatesh Kolluru, Elizabeth A Mack, Peilei Fan, Jing Yuan, Zutao Ouyang, Jingyan Chen, Pavel Groisman, Changliang Shao, Amarjargal Amartuvshin, Garik Gutman

“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
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Handling Multiple-Fuel Options in Economic Dispatch of Thermal Power Plants Through a Tight Model Applying Indicator Variables by Hossein Sharifzadeh

“…Thermal power plants play a central role in present power systems because of their high efficiency, fast startup capability, and flexibility to integrate the variability of renewable generations. …”
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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

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Development and evaluation of the organization`s logistics strategy based on the application of bifurcation theory by M. Yu. Uchirova, L. A. Ilin, S. V. Khudyakov

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In-depth characterization of accessory gene regulator loci and associated virulence factors in tcdA+B+ Clostridioides difficile isolates by Mansoor Kodori, Zohreh Ghalavand, Abbas Yadegar, Gita Eslami, Masoumeh Azimirad, Mohammad Reza Zali

“…The study uncovered significant variability in sporulation efficiency among isolates, with high efficiency correlating with tcdC-A genotype. …”
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Association mapping for root system architecture under varying levels of phosphorus application in Brassica juncea L. Czern & Coss by Priyanka Upadhyay, Mehak Gupta, Simarjeet Kaur Sra, Gurdeep Cheema, Virender K. Sardana, Rakesh Sharda, Nitika Sandhu, Javed Akhatar, Gurpreet Kaur

“…Root system architecture (RSAr) plays a crucial role in Pi uptake from soil and thereby improving phosphorus use efficiency (PUE) of plants. Studying the genetic variability of RSAr traits across various Pi levels offers insights for enhancing crop resilience to Pi deficiency. …”
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A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

“…In this work, we propose a sparse variable step-size LMS approach in a code-division multiple access (CDMA) system. …”
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A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

“…This paper proposes a Model Predictive Current Control (MPCC) based variable sampling time interleaving method to improve the current shaping ability, power conversion efficiency, power density and current ripple reduction of a two-phase totem pole bridgeless boost power factor correction (PFC) converter. …”
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Productive wetlands restored for carbon sequestration quickly become net CO2 sinks with site-level factors driving uptake variability. by Alex C Valach, Kuno Kasak, Kyle S Hemes, Tyler L Anthony, Iryna Dronova, Sophie Taddeo, Whendee L Silver, Daphne Szutu, Joseph Verfaillie, Dennis D Baldocchi

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