Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…Abstract Gait recognition uses video of human gait processed by computer vision methods to identify people based on walking style. The complexity introduced by covariates makes the previous methods less efficient and inaccurate. …”
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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. …”
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Codimension-Two Bifurcations of Fixed Points in a Class of Discrete Prey-Predator Systems by R. Khoshsiar Ghaziani, W. Govaerts, C. Sonck

“…For the bifurcation points, we compute the corresponding normal form coefficients. These quantities enable us to compute curves of codimension 1 bifurcations that branch off from the detected codimension 2 bifurcation points. …”
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Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

“…It introduces two innovations: Dynamic multi-hop bridge detection, extending beyond the 2-hop limitation of E-Burt to quantify long-range bridging influence efficiently; and a weighted fusion model balancing coreness (via MDD) and bridging roles (via structural holes) with linear time complexity.Experiments on synthetic (Barabási-Albert), social (dolphin), infrastructure(Western U.S. power grid), and collaboration (co-authorship) networks demonstrate superiority. …”
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An Effective Method for Borehole Imaging of Buried Tunnels by Loreto Di Donato, Rosa Scapaticci, Tommaso Isernia, Ilaria Catapano, Lorenzo Crocco

“…Since this requires to drill holes in the soil wherein the transmitting and receiving antennas have to be positioned, low complexity of the involved apparatus is important. On the other hand, to effectively image the surveyed area, there is the need for adopting efficient and reliable imaging methods. …”
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Aircraft Measurements of Physicochemical Evolution of Atmospheric Aerosols in Air Pollution Plumes over a Megacity and Suburban Areas by Taehyun Park, Yongjoo Choi, Jinsoo Choi, Junyoung Ahn, Jinsoo Park, Yonghwan Lee, Jihee Ban, Gyutae Park, Seokwon Kang, Kyunghoon Kim, Beom-Keun Seo, Jongho Kim, Soobog Park, Hyunjae Kim, HaEun Jeon, Taehyoung Lee

“…This study highlights the necessity of understanding the complex vertical structures of particle layers, such as those identified in and around the SMA, in order to facilitate the adoption of efficient air quality control strategies and enhance air quality forecasting.…”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups and play crucial roles in scenario monitoring. …”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…Many pathology departments are also facing an increasingly unsustainable workload due to rising prostate cancer incidence and a decreasing pathologist workforce coinciding with increasing requirements for more complex assessments and reporting. Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. …”
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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…The investigation reveals compelling evidence for edge computing deployment via TinyML frameworks, addressing critical scalability challenges in commercial poultry environments characterized by acoustic complexity and computational constraints. Advanced applications spanning emotion recognition, disease detection, and behavioral phenotyping demonstrate unprecedented potential for real-time welfare assessment. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…The new algorithm constructs coordinates as an extension of diffusion maps and generates efficient geometric representations of the complex structure of the MRI data. …”
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Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications by Fatma Yıldırım, Yunus Yalman, Kamil Çağatay Bayındır, Erman Terciyanlı

“…The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has necessitated the implementation of smart grid technologies and the integration of advanced computing paradigms such as edge computing. …”
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Legal support for the use of natural therapeutic resources in sanatorium and resort treatment of the population by V. V. Kostytsky, V. D. Sydor, I. O. Kostytska

“…It has been established that natural therapeutic resources include mineral and thermal water, medical mud and ozokerite, sea and lake brine, sea water, natural objects and complexes with favorable climatic conditions. It has been substantiated that sanatorium and spa treatment is an important part that provides continuity and complexity of medical rehabilitation measures. …”
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Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Noise in acquisition and transmission degrades image quality and affects the reliability of diagnosis and research. Due to the complexity of the brain's structure and minor density differences, noise can increase diagnosis difficulty, so high-quality images are essential for disease detection, prognosis assessment, and treatment plan development. …”
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High-Level Synthesis of In-Circuit Assertions for Verification, Debugging, and Timing Analysis by John Curreri, Greg Stitt, Alan D. George

“…Despite significant performance and power advantages compared to microprocessors, widespread usage of FPGAs has been limited by increased design complexity. High-level synthesis (HLS) tools have reduced design complexity but provide limited support for verification, debugging, and timing analysis. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Although progress has been made in DR detection using deep learning techniques, these methods still face challenges in handling the complexity of DR lesion characteristics and the nuances in grading criteria. …”
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CARD8 and NLRP1 undergo autoproteolytic processing through a ZU5-like domain. by Andrea D'Osualdo, Christian X Weichenberger, Roland N Wagner, Adam Godzik, John Wooley, John C Reed

“…The "Function to Find Domain" (FIIND)-containing proteins CARD8 (Cardinal; Tucan) and NLRP1 (NALP1; NAC) are well known components of inflammasomes, multiprotein complexes responsible for activation of caspase-1, a regulator of inflammation and innate immunity. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…Accurate detection and measurement of building elements are essential for efficient automated inspection and quality assessment in construction. …”
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Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

“…Metro barrier-detection has been one of the most popular research fields. …”
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