Fast Möbius transform: An algebraic approach to information decomposition by Abel Jansma, Pedro A. M. Mediano, Fernando E. Rosas

“…Our approach is based on a formula for estimating the Möbius function that circumvents important computational bottlenecks and can in some cases offer a double-exponential speedup. …”
Get full text

A Comparative Study in Fuzzy Control Systems for Cruise Control Vehicles by Adnan Shaout, Malek I El Amr

“…However, these systems are very complex and require an accurate model, which is difficult to achieve due to complex and variable road conditions. Therefore, reaching level 5 autonomous driving, which refers to a fully automated vehicle capable of performing all driving functions, will eventually require fuzzy logic inference to help incorporate human-like thinking into the vehicle. …”
Get full text

The study of socio economic factors’ influence on the capacity dynamics of the pharmaceutical market in contracting conditions by А. А. Kotvitska, V. H. Kostiuk

“…For the effective functioning of pharmaceutical companies in the current economic conditions it is necessary to carry out product policy aimed to expanding the range of medicines that are most popular. …”
Get full text

Analyzing Chemical Decay in Environmental Nanomaterials Using Gamma Distribution with Hybrid Censoring Scheme by Hanan Haj Ahmad, Dina A. Ramadan, Mohamed Aboshady

“…The Gamma distribution’s flexibility and mathematical properties make it well-suited for reliability and decay analysis, capturing variable hazard rates and accommodating different censoring structures. …”
Get full text

Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter by Sena Alemu Wondimu, Desalegn Tsega Dagne, Kinde Anlay Fante

“…The SEPIC converter is non-inverting and can both step up and step down the voltage with low ripple current. It is a nonlinear variable structure that uses sliding mode control (SMC) for stable operation. …”
Get full text

Research on multi-UAV autonomous obstacle avoidance algorithm integrating improved dynamic window approach and ORCA by Xucheng Chang, Jingyu Wang, Kang Li, Xinhui Zhang, Qian Tang

“…Confronted with the difficulty of balancing calculation speed and accuracy in the DWA algorithm, a dynamic time step adjusted according to the environment was designed to weigh the computational efficiency. Aiming at the poor environmental adaptability of the DWA algorithm, a trajectory evaluation function with variable weights was put forward to improve environmental fitness. …”
Get full text

Underactuated Spatial Mechanism of Vehicle Door Latch with Force Constraint by Sulong Li, Lubin Hang, Mingyuan Wang, Xiaojie Huang

“…Aiming at less space occupation，efficient driving and high-end multi-function of the door latch release branch chain，the type synthesis of single loop spatial mechanism is carried out，and the RRRSR mechanism which could realize power release is obtained. …”
Get full text

Applications of mutagenesis methods on affinity maturation of antibodies in vitro by LIU Yuan, LIN Manman, ZHANG Xiao, XU Chongxin, JIAO Linxia, ZHONG Jianfeng, WU Aihua, LIU Xianjin

“…In chain shuffling, a variable heavy or light chain of a specific antibody is recombined with a complementary variable domain library. …”
Get full text

Perinatal bisphenol A exposure impairs gut microbial colonization: Implications for offspring obesity and neurodevelopment by Ana López-Moreno, Alfonso Torres-Sánchez, Antonio Suárez, Alicia Ruiz-Rodríguez, Margarita Aguilera

“…Toxicological approaches in animal models have revealed complex effects, using variable doses of BPA, on reproduction, development, obesity, immune function, metabolic and systemic toxicity. …”
Get full text

Swarm based Heuristic Optimization of the Recurrent Customers and Standby Server Under General Retrial Times by N. Micheal Mathavavisakan, K. Indhira, Aliakbar Montazer Haghighi

“…Using the supplementary variable technique (SVT), the probability generating functions (PGFs) and steady-state probabilities for the system's states, have been obtained enabling the development of comprehensive performance measures. …”
Get full text

Hybrid Multi-Granularity Approach for Few-Shot Image Retrieval with Weak Features by Aiguo Lu, Zican Li, Yanwei Liu, Pandi Liu, Ke Wang

“…The algorithm designs a feature extraction method (AugODNet_BRA) rooted in image augmentation, which efficiently captures high-level semantic features of images with few samples, small targets, and weak features through unsupervised learning. …”
Get full text

Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm by Firmansyah Nur Budiman, Taufal Hidayat, Rudi Uswarman

“…The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. …”
Get full text

Analyzing the influence of TOE factors on e-auditing adoption in audit firms: The moderating effect of trust by Reem Al-Araj

“…Data show that trust functions as a supportive variable for the relationship between TOE and e-auditing but provides minimal strength. …”
Get full text

Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The responses of the system to an increase in the durtion of the probing pulse and a change in the type of window function were evaluated. An empirical dependence of signal losses during propagation in radio channels of LFM GPR has been established. …”
Get full text

Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…This study introduces a neuro-evolution of augmenting topologies (NEAT) algorithm aimed at optimizing the scheduling efficiency in flexible job shops by minimizing both maximum completion and average lag times, taking into account variables like sporadic job arrivals, variable machining durations, tool wear, preventive maintenance, and equipment failures. …”
Get full text

The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…Performance improved marginally for the second array (i.e., 200–500 m downstream), but position efficiency was ultimately low (1%), variable across transmitter locations, and negatively correlated with discharge. …”
Get full text

Jacobian-Free Newton Krylov Methods for Steady and Transient Neutron Transport Models by ZHANG Yangyi, ZHANG Tiancheng, ZHOU Xiafeng

“…To further improve computational efficiency of comeSn_JFNK, in the JFNK solution, neutron scalar fluxes instead of neutron angular fluxes were chosen as the global solution variables. …”

New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Caroline A. D. Silva, Marcelo A. C. Fernandes

“…Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. The proposed method termed Blind Linear Equalizer based on genetic algorithm (BLE-GA) enhances performance by leveraging a GA’s ability to handle stochastic variables, offering rapid convergence and resilience against signal noise and inter-symbol interference. …”
Get full text

Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…In addition, the net present value (NPV) serves as the objective function. To optimize the selected input variables, including tubing inside diameter, gas injection rate, and separator pressure, various optimization algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), and a Novel optimization algorithm in a gas-lift study called grey wolf optimization (GWO), were utilized considering the constraint of the limited available gas. …”
Get full text

Finite Difference/Fractional Pertrov–Galerkin Spectral Method for Linear Time-Space Fractional Reaction–Diffusion Equation by Mahmoud A. Zaky

“…The Pertrov–Galerkin spectral method is adapted using non-smooth generalized basis functions to discretize the spatial variable, and the L1 scheme on a non-uniform graded mesh is used to approximate the Caputo fractional derivative. …”
Get full text