Effect of Friction Coefficient in Friction Stir Welding of B4C Reinforced AA5083 Metal Matrix Composites and Use of Fuzzy Clustering Technique for Weld Strength Prediction by C. Devanathan, D. Elil Raja, Tushar Sonar, Mikhail Ivanov

“…The influence of the friction coefficient on ultimate tensile strength, microstructural features, and tool condition was studied, and the flower pollination algorithm (FPA) technique was used to find the best process parameters for obtaining maximum ultimate tensile strength of FSW joints. …”
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Design of 3 DOF hexapod leg movement using inverse kinematics: bridging gaps in multilegged robot kinematics literature by Heru Suwoyo, Nur Aziz Taufikurohman, Yingzhong Tian, Achmad Burhanudin

“…This research involves the geometric and structural design of the hexapod robot and the development of an Inverse Kinematics algorithm to calculate the leg joint angles based on the target pose. …”
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Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…The artificial neural network is also developed for the non-dimensional governing equations using the Levenberg Marquardt algorithm. Numerical findings corresponding to the diverse parameters influencing the nanofluid flow and heat transfer are presented in the graphs. …”
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A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics by Sedat Belbağ

“…A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. …”
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Afocal Mirror Systems with Small Axial Dimensions by N. K. Artioukhina, L. Peroza

“…A study was made of systems in which the diameter of the aperture diaphragm in the primary mirror is modified, which leads to a more compact system.A calculation algorithm of new the systems is proposed, with correction of the image curvature. …”
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Ecological niche modelling using MaxEnt for riparian species in a Mediterranean context by Jean Stephan, Melissa Korban

“…Despite their key environmental role, riparian tree and shrub species gained little attention in ecological niche modeling (ENM), especially in semi-arid environments.This study examines the performance of selected climatic, topographic, and geographic predictors in ENM of obligate and non-obligate riparian tree and shrub species in perennial and intermittent streams in the Mediterranean biome.MaxEnt algorithm was used for ENM. Three models were designed with different sets of predictors with cropped and non-cropped backgrounds around the riparian zone.The models generated different predicted distribution maps by species and compared them with the presence points of the studied species. …”
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Route Selection of Multimodal Transport Based on China Railway Transportation by Hui Zhang, Yao Li, Qingpeng Zhang, Dingjun Chen

“…Finally, taking a multimodal transport network in China as an example, an improved ant colony algorithm is used to solve the model and the results verify the rationality of the model.…”
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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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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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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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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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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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Employee attendance system using face recognition and GPS using local binary pattern histogram by Narahari Vigraha Prasada, Ikrimach

“…Conventional approaches such as manual sign-ins and RFID cards or fingerprint scanning have shown important weaknesses, especially with regard to proxy attendance (buddy punching). We chose the LBPH algorithm since it has a higher flexibility against changes of light, which means that we can use it in many situations like indoor or outdoor cases. …”
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BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI. by Arianna Bunnell, Kailee Hung, John A Shepherd, Peter Sadowski

“…We present an open-source software solution for automatically processing clinical BUS datasets. The algorithm performs BUS scan filtering (flagging of invalid and non-B-mode scans), cleaning (dual-view scan detection, scan area cropping, and caliper detection), and knowledge extraction (BI-RADS Labeling and Measurement fields) from sonographer annotations. …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…Lastly, an adaptive threshold algorithm is proposed to integrate driving behavior and environmental factors into a Gaussian process regression model. …”
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Exploring Shared SRAM Tables in FPGAs for Larger LUTs and Higher Degree of Sharing by Ali Asghar, Muhammad Mazher Iqbal, Waqar Ahmed, Mujahid Ali, Husain Parvez, Muhammad Rashid

“…We also make use of a recently proposed high performance Boolean matching algorithm to perform NPN classification. To enhance area savings further, we evaluate the feasibility of more than two LUTs sharing the same SRAM table. …”
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Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

“…The results showed that the performance of Scala about 10% to 20% is better than Java depending on the algorithm type. The aim of the study is to analyze big data with more suitable programming languages and as consequences gaining better performance. …”
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Improving model performance in mapping black-soil resource with machine learning methods and multispectral features by Jianfang Hu, Yulei Tang, Jiapan Yan, Jiahong Zhang, Yuxin Zhao, Zhansheng Chen

“…Based on the revised random forest classification algorithm, model performance using different feature combination programs were evaluated to search for an efficient, high-precision method for mapping black-soil resource. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We also find that the tail dependence approach is capable of predicting extreme ozone events, but algorithmic stability and configuration complexity can make this approach difficult to operationalize on a broad scale and that the selection of the threshold needs to be carefully considered. …”
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