Resident Tolerance to Transitional Temperature Deviation in Smart Communities by Eve Tsybina, Viswadeep Lebakula, Piljae Im, Helia Zandi, Jeffrey Munk, Justin Hill

“…Choosing the right HVAC system or the right algorithm of implementing demand response could create significant energy and environmental gains while maintaining resident comfort. …”
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Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo by Kim Inhyung, Lujan Vidor H., Painter Bailey, Kotlyar Dan, Fratoni Massimiliano

“…The hybrid resolution (HR) method is a recently developed calculational algorithm tailored for efficient nuclear reactor analysis by leveraging multigroup (MG) Monte Carlo (MC) coupled with continuous energy MC calculations. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…We achieved similar performance on classification compared to modern detection algorithms for ICAS in TOF-MRA (time-of-flight magnetic resonance angiography). …”
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A novel framework to intercept GPS-denied, bomb-carrying, non-military, kamikaze drones: Towards protecting critical infrastructures by Athanasios N. Skraparlis, Klimis S. Ntalianis, Nicolas Tsapatsoulis

“…The first neutralizes and captures the kamikaze drone, while the second captures the bomb. Both defensive drones are equipped with a net-gun and an innovative algorithm, which, among others, estimates the locations of interception, using a real-world trajectory model. …”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…Our approach begins with the application of a multi-scale retinal enhancement algorithm featuring color restoration to preprocess image data. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Abstract Computational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. …”
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Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization by Dasari Bhulakshmi, Dharmendra Singh Rajput

“…The experiments show that FedDEO works effectively for the MESSIDOR dataset to achieve a high classification accuracy, specificity, recall, and F1-Measure of 96.98%, 98.12%, 97.12%, and 98.00% while preserving privacy. The results demonstrate that implementing these algorithms in an FL environment significantly improves privacy and performance compared to other approaches. …”
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Optimization Study of PVT Coupled Water Loop Heat Pump Energy Supply System by Lv Tiangang, Liu Bing, Wu Jun, Zhu Li, Hou Jingxuan

“…By employing the Hooke-Jeeves algorithm, the system's design and operation parameters were optimized with annual cost and system COP as objective functions. …”
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A critical evaluation of Pure Pursuit, MPC and MPCC: Balancing simplicity, performance and constraints by Kong Xiangyiming, Fisher Callen, Evans Benjamin

“…These algorithms are then experimentally validated on a physical F1Tenth vehicle. …”
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FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

“…Remote sensing scene classification (RSSC) is to accurately assign semantic labels to remote sensing images by analyzing scene contents. Recently, many algorithms have made significant progress in improving the classification accuracy of RSSC. …”
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Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar by Raden Radian Baratasena, Mukidin Mukidin, Kosim Kosim, Adinda Rainah Lova Ariatin

“…The Monte Carlo method is a computational algorithm that uses repeated random sampling to obtain numerical results. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…This in-creases the local contrast of the image, but leads to high computational complexity, which is increasing while block size decreases. The aim of the work is to reduce the computational complexity of adaptive equalization and compression of infrared image histograms while reducing their dynamic range.Methods. …”
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Determination of Insulation Fault Locations in a Heterogeneous Power Supply Line by A. M. Oleynikov, L. N. Kanov

“…The purpose of the study was to develop an algorithm for the implementation of an accurate determination of the location and nature of insulation fault on the power supply line, which foundation is a mathematical model of the electrical network mode based on the theory of electrical circuits with distributed parameters. …”
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TO SUBSTANTIATION OF COMBINE WHEELED CHASSIS FOR BEET HARVESTING EQUIPMENT by G. A. Tajanowskij, A. A. Kalina

“…Methodological rules and regulations have been developed for solution of problems pertaining to scientifically sunstantiated selection of a manufactured or developed wheeled chassis model, building-block parameters of a working device and a chassis, rational control algorithm of the unit running system while using a specified (domestic or foreign) semi-mounted equipment for beet harvesting. …”
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LH-moment-based regional flood frequency analysis framework to determine design floods in Krishna River basin by Amit Kumar Singh, Sagar Rohidas Chavan

“…., the first involves a single region comprising all 24 gauges within the basin, while the second divides the 24 gauges into three hydrologically similar regions based on the global K-means (GKM) clustering algorithm. …”
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Rock image classification based on improved EfficientNet by Kai Bai, Zhaoshuo Zhang, Siyi Jin, Shengsheng Dai

“…First, the DiffuseMix algorithm is applied to the training set to increase data diversity. …”
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Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity by Kangning Yin, Zhen Ding, Xinhui Ji, Zhiguo Wang

“…Furthermore, a local prototype stable update (LPSU) mechanism is proposed as a means of maintaining personalization while promoting global consistency, based on contrastive learning. …”
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Analytical Study on The Intensity of Surface Urban Heat Island (SUHI) in Kaduna State by Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

“…LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. …”
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Dynamic characteristics of a semi-active fractional-order inerter-based suspension with acceleration-velocity switch control by Yong Wang, Jiachen Li, Mingzhu Ji, Xiwen Qiao, Yang Wang

“…For road random excitation, the SA-FOIB suspension can decrease the root-mean-square (RMS) values of the suspension dynamic deflection and wheel dynamic load compared with the P-FOIB suspension, while increases the RMS value of the vehicle body acceleration. …”
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Enhancing Object Detection in Dense Images: Adjustable Non-Maximum Suppression for Single-Class Detection by Kyeongmi Noh, Seul Ki Hong, Stephen Makonin, Yongkeun Lee

“…Deep learning-based object detection technology often relies on non-maximum suppression (NMS) algorithms to eliminate redundant detections. However, the conventional NMS algorithm struggles with distinguishing between overlapping and small objects due to its simple constraints. …”
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