On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective by Massimiliano Laddomada, Fabio Mesiti

“…The behavior of 𝑆(𝜆) paves the way to a cross-layer optimization algorithm, which proved to be effective for maximizing the aggregate throughput in a variety of network operating conditions. …”
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Seismic assessment of cylindrical storage tanks to records with different frequency contents considering fluid–structure–soil/foundation interaction by Ayman Abd-Elhamed, Sayed Mahmoud

“…The study’s findings clearly indicate that records with low-frequency contents require significantly more seismically demanding than other records for the considered soil types. …”
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Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition by Gaizen Soufiane, Abbou Ahmed, Fadi Ouafia

“…This study explores the efficacy of the decision tree algorithm in predicting solar power generation, addressing the inherent variability in photovoltaic (PV) energy production due to weather conditions. …”
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Treatment of Retinal Separation in HIV-infected Patients with Cytomegalovirus Retinitis by A. L. Onischenko, A. V. Kolbasko, G. N. Tatarnikova, A. D. Chernysheva

“…In some patients with HIV infection blindness occurs because of acute retinal necrosis of CMV etiology. The algorithm of CMV retinitis treatment in HIV-infected patients is described in modern manuals (ganciclovir, valganciclovir, foscarnet and others on the background of antiretroviral therapy), but the tactics of treatment of retinal separation in these patients is not clearly defined. …”
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Error-Constrained Fixed-Time Synchronized Trajectory Tracking Control for Unmanned Airships with Disturbances by Jie Chen, Jiace Yuan, Ruohan Li

“…First, to guarantee strict adherence to prescribed performance bounds, an error transformation function (ETF) is integrated into the control algorithm, which can ensure all tracking errors remain within specified constraints throughout the convergence process. …”
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Improve security of wireless sensor networks through reluctant checksum by Qiong Zhang, Jianyu Xiao

“…Our experimental results clearly demonstrate that R-CS is feasible for wireless sensor network.…”
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Discovery of Exact Equations for Integer Sequences by Boštjan Gec, Sašo Džeroski, Ljupčo Todorovski

“…Equation discovery, also known as symbolic regression, is the field of machine learning that studies algorithms for discovering quantitative laws, expressed as closed-form equations or formulas, in collections of observed data. …”
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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…The experimental results clearly show the high system performance achieved with the ANFIS controller. …”
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Pattern determination of the territory local factors influence on the land plots’ cadastral value of gardening and horticultural non-profit partnerships by Tatyana D. Banikevich, Elena N. Bykowa, Natalia V. Zalivatskaya, Oksana E. Pirogova

“…The value of land resources and their indispensable role in ensuring the socio-economic development of the country is most clearly reflected in the state’s tax policy, specifically in land taxation. …”
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Foreshock migration preceding the 2016 Mw 7.0 Kumamoto earthquake, Japan by Aitaro Kato, Jun'ichi Fukuda, Shigeki Nakagawa, Kazushige Obara

“…To more precisely characterize the evolution of the earthquake sequences, we applied a matched filter technique to continuous waveform data, using template events obtained via a double‐difference relocation algorithm. Migrations of seismicity fronts along the directions of fault strike and dip are clearly seen, starting immediately after the Mw 6.2 foreshock. …”
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Analysis of Distributed Dynamic Loads Induced by the Own Mass of Manipulator Links and Their Visualization on Interactive 3D Computer Models by Muratulla Utenov, Tarek Sobh, Yerbol Temirbekov, Saltanat Zhilkibayeva, Sarosh Patel, Dauren Baltabay, Zhadyra Zhumasheva

“…The implementation of these algorithms and program codes has enabled the creation of three-dimensional computer models of manipulators with clear visual representations of links, their cross-sections, kinematic pairs, grippers, and loads, differing in structure and degrees of freedom while ensuring a comprehensive view from all spatial perspectives. …”
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Recent Applications of In Silico Approaches for Studying Receptor Mutations Associated with Human Pathologies by Matteo Pappalardo, Federica Maria Sipala, Milena Cristina Nicolosi, Salvatore Guccione, Simone Ronsisvalle

“…This trend reflects the current emphasis on developing novel therapies for diseases resulting from receptor mutations with the recently discovered AlphaFold algorithm as the driving force.…”
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Development of longitudinal datasets (2000–2020) with high spatiotemporal resolution for air pollution exposure assessment in CanadaFRDR) by Anas Alhusban, Yasar Burak Oztaner, Markey Johnson, Mastaneh Rezasefat, Negin Hojjatzadeh, Israa Moussa, Mahsa Soleimani, Saeed Nadi, Shunliu Zhao, Hwashin Shin, Joyce J.Y. Zhang, Amir Hakami

“…Widely used machine learning (ML) algorithms like random forest and gradient boosting were chosen and proved to be promising. …”
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The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

“…We conclude that innovative approaches based on data-mining algorithms and nonlinear analytic methods applied to large patient datasets may be instrumental in resolving the genetic complexity of TS.…”
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A Titanium Alloy Defect Detection Method Based on Optical–Acoustic Image Fusion by Mingzhen Wang, Yang Zhao, Yufeng Huang, Gang Zhao

“…Nowadays, a single detection method is insufficient for comprehensively and clearly identifying both surface defects and inner defects in titanium alloys. …”
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Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…A machine learning study developed a parallel Convolutional Neural Network algorithm with 96.4% recall and 99.1% precision for study screening. …”
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Improving the synchronous stability of grid-following converters using flux linkage feedback combined with the DFF neural network by Yang Liu, Haoheng Li, Yiming Ma

“…A hybrid scheme of flux linkage feedback (FLF) combined with the deep feed-forward (DFF)-genetic algorithm (GA) method to improve the synchronous stability of grid-following (GFL) converters is proposed in this paper. …”
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Albufera Lagoon Ecological State Study Through the Temporal Analysis Tools Developed with PerúSAT-1 Satellite by Bárbara Alvado, Luis Saldarriaga, Xavier Sòria-Perpinyà, Juan Miguel Soria, Jorge Vicent, Antonio Ruíz-Verdú, Clara García-Martínez, Eduardo Vicente, Jesus Delegido

“…The Albufera of Valencia (Spain) is a representative case of pressure on water quality, which caused the hypertrophic state of the lake to completely change the ecosystem that once featured crystal clear waters. PerúSAT-1 is the first Peruvian remote sensing satellite developed for natural disaster monitoring. …”
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Klinische Sportmedizin by Heblich F, Gröbel H, Hauptmann M

“…As expected, on average it underestimates the achievements. The structure is clearly not as precise as our models. The PWC model is even less precise and is inclined to overestimate the achievements. …”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Finally, the volume rendering pipeline with ray-casting algorithm is implemented to visualize several biomedical datasets. …”
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