Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

“…Our approach involves solving a sample problem precisely using GAMS software and developing two meta-heuristic algorithms—Non-Dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO). …”
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Analysis of the prospects of phase change materials in building structures by A. V. Fedyukhin, O. V. Afanaseva, M. D. Zaitsev

“…The efficiency of the use of phase change materials in building structures was carried out by means of energy modelling of the building using the Conduction Finite Difference algorithm in the EnergyPlus programme, taking into account climatic conditions and energy consumption for heating and cooling of the building. …”
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Research on Aircraft Surface Taxi Path Planning and Conflict Detection and Resolution by Ningning Zhao, Nan Li, Yu Sun, Lei Zhang

“…For aircraft with taxiing conflicts, waiting or changing paths is selected to deconflict taxiing by comparing priorities. An improved A∗ algorithm solution is applied to generate conflict-free glide paths and new glide trajectory occupancy time windows, while the glide paths of aircraft without glide conflicts are not affected. …”
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Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS Data by Jian Wang, Xiaolin Meng, Changbiao Qin, Jiaohong Yi

“…A bilinear Chebyshev high-pass filter is designed to isolate the quasistatic movements, the FFT algorithm and peak-picking approach are applied to extract the vibration frequencies, and a GPS data accumulation counter is suggested for real-time monitoring applications. …”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

“…The proposed technique, initially, extracts features using histrogram of gradient (HOG) approach and then reduces dimensions of extracted features using unsupervised autoencoder and subsequently refining the feature set with an improved GWO algorithm. A handcrafted artificial neural network serves as the classifier within this integrated framework, denoted as AEGWO-Net. …”
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Calculation of the Instream Ecological Flow of the Wei River Based on Hydrological Variation by Shengzhi Huang, Jianxia Chang, Qiang Huang, Yimin Wang, Yutong Chen

“…Moreover, the heuristic segmentation algorithm that is suitable to detect the mutation points of flow series is employed to identify the change points. …”
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Climatological Study on Cyclone Genesis and Tracks in Southern Brazil from 1979 to 2019 by Bruna Alves Oliveira Destéfani, Micael Fernando Broggio, Carlos Alberto Eiras Garcia

“…Results indicate that the cycloTRACK algorithm is more effective at tracking more intense and consistent cyclones, excluding weaker systems. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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An Analytical Solution for Non-Darcian Flow on a Constant Head Packer Test in the Interlayer Staggered Zone by Qi Shen, Zhifang Zhou, Meng Chen, Sijia Li, Zhe Wang, Yabing Li

“…The test results inversed by the genetic algorithm show that non-Darcian flow happened during the test under the injection pressure 0.3 MPa with the power index n is 1.278, non-Darcian hydraulic conductivity k1 is 1.613×10−5 cm/s and the specific storage Ss is 9.757×10−5 m-1, respectively. …”
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A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition by Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao

“…The unscented Kalman filter algorithm is the foundation, with singular value decomposition replacing the Cholesky decomposition. …”
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Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism by Zeynep Tanis, Ali Durusu

“…An innovative peer-to-peer market structure is proposed, supported by advanced algorithms, to enable direct energy trading among prosumers. …”
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Models of technological development: The influence of investment structure by Vilhelmina V. Glazunova, Oleg S. Sukharev

“…The paper aims to determine the models of technological modernisation according to the structure of investments in “old – new” technologies and develop an algorithm for identifying these models by assessing the relationship between investment and risk. …”
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Energy-Efficiency for IoT System With Cache-Enabled Fixed-Wing UAV Relay by Kang Song, Jifa Zhang, Zhengxia Ji, Jing Jiang, Chunguo Li

“…Therefore, this paper alternately optimizes trajectory in source subspace and destination subspace with the other fixed and comes up with an algorithm based on successive convex approximation (SCA) method and Dinkelbach method to obtain a local optimal solution. …”
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Sleep Disruption and Proprioceptive Delirium due to Acetaminophen in a Pediatric Patient by Carla Carnovale, Marco Pozzi, Andrea Angelo Nisic, Elisa Scrofani, Valentina Perrone, Stefania Antoniazzi, Emilio Clementi, Sonia Radice

“…Potential alternative explanations were excluded, and analysis with the Naranjo algorithm indicated a “probable” relationship between acetaminophen and this adverse reaction. …”
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Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module by Anastasia Imanova, Eugene Rozanov, Sergei Smyshlyaev, Vladimir Zubov, Tatiana Egorova

“…This study analyses the wide-band algorithm, Cloud-J v.8.0, from the point of view of the validity of the choice of wide spectral intervals to accelerate the calculations of photolysis rates in the lower and middle atmosphere, considering the features of solar radiation propagation, and to assess the influence of the processes of reflection and scattering on molecules, aerosols, and clouds. …”
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Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays by Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Marco Cardenas-Juarez, Abel Garcia-Barrientos

“…Beam patterns are optimized using a genetic algorithm during the training phase in order to reduce sidelobes and achieve high directivity. …”
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Optimal Connection of Offshore Wind Farm with Maximization of Wind Capacity to Power Systems considering Losses and Security Constraints by Leandro A. Vasconcelos, João A. Passos Filho, Leonardo W. de Oliveira, Othon F. Avila

“…The objective of this work is to present a methodology to determine the optimal OWF connection point in a power system, with maximum penetration of firm wind power and minimum loss, considering security constraints related to the “N−1” contingency criterion, exchange limits between areas, and a strategy to reduce the number of constraints in the optimization problem. The algorithm is modeled using a Mixed Integer Nonlinear Programming (MINLP), and it is evaluated in a tutorial system and three well-known other networks from literature: IEEE 14-Bus, IEEE RTS-79, and Southern Brazilian System.…”
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Exploring the impact of adenoid obstruction on the human nasal airflow through parallel computational fluid dynamics by Zhengzheng Yan, Xinhong Wang, Rongliang Chen

“…The numerical solution was obtained using a Newton‐Krylov‐Schwarz algorithm‐based parallel solver. Our findings indicate that obstruction of the adenoid cross‐sectional area below 50% minimally affects nasal airflow, whereas noticeable changes occurred as obstructions exceeded the 50% threshold. …”
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Analysis of Startup Process and Its Optimization for a Two-Stand Reversible Cold Rolling Mill by Guangming Liu, Yugui Li, Qingxue Huang, Xia Yang, Aimin Liu

“…Dynamic characteristic analysis of a two-stand reversible cold rolling mill in the startup process was carried out. The delay algorithm of the interstand thickness was proposed. …”
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Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction by Qing Xiong, Yixuan Li, Xiaoli Qiu, Dong Yu, Weihua Zhang, Qingze Chen

“…First, the time-frequency representation of the fault signal is obtained through the adaptive short-time Fourier transform (STFT), and then the FPOMRE algorithm is used to extract additional ridges below the lowest time-frequency ridge multiple times. …”
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