Recording dan Pencarian Silsilah Kambing Perah Menggunakan Algoritme Depth First Search by Rizki Wahyudi, Muhammad Iqbal, Lussy Dwi Oktaviana

“…To solve the problem, a Recording system is built for website-based livestock data logging and for genealogical search will use the Depth first search algorithm. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging research on Madurese language using Viterbi algorithm, consists of 3 processes, which are training and testing corpus pre-processing, training the corpus by Hidden Markov Model, and tag classification using Viterbi algorithm. …”
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INNSE: Invertible neural network-based DNA image storage with self-correction encoding by Yanfen Zheng, Xiaokang Zhang, Lijun Sun, Ben Cao, Bin Wang, Qiang Zhang, Pan Zheng

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Modernizing the Design Process for US Organ Allocation Policy: Toward a Continuous Distribution Policy for Kidneys by Elijah Pivo, PhD(c), James Alcorn, JD, Dimitris Bertsimas, PhD, Sarah E. Booker, MPH, Keighly Bradbrook, PhD, Thomas G. Dolan, MS, Lindsay V. Larkin, BA, Kayla R. Temple, BA, Nikolaos Trichakis, PhD

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Control de configuraciones peligrosas en instalaciones con riesgo asociado // Hazardous configurations control in risk related facilities by Antonio Torres - Valle

“…The paper presents the use of algorithm beginning from the analysis of</p><p>the simplified safety system.…”
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Assessing vulnerability of Arctic fish species to climate change by K. J. Sora, C. C. C. Wabnitz, N. S. Steiner, U. R. Sumaila, C. Hoover, A. Niemi, L. Loseto, E. V. Lea, C. C. Breiter, J. Palacios-Abrantes, G. Reygondeau, P. Farnole, T. Sou, W. W. L. Cheung

“…A spatially-explicit algorithm was used to assess the risk and vulnerability in the Beaufort Sea shelf and slope and Amundsen Gulf (BS–AG) based on the species’ biological traits, biogeography and their exposure to climatic hazards. …”
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Congenital hepatic fibrosis (a case report) by O. O. Popovych, L. V. Moroz, Yu. V. Avdosiev, F. A. Chabanov, O. O. Voinalovych

“…Congenital hepatic fibrosis (CHF) is an autosomal recessive disorder of intrauterine morphogenesis of the portobiliary system, characterized by periportal fibrosis and defective remodeling of the bile ducts. …”
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A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

“…The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. …”
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Switchable filter compensating installation in AC traction network by L. A. German, A. S. Serebryakov, V. L. Osokin, D. V. Yakunin

“…In the AC traction network, the use of adjustable transverse capacitive compensation systems has become necessary primarily for normalizing the voltage at the current collector of the electric rolling stock. …”
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Active Neutral-Point Voltage Balancing Strategy for Single-Phase Three-Level Converters in On-Board V2G Chargers by Qiubo Chen, Zefu Tan, Boyu Xiang, Le Qin, Zhengyang Zhou, Shukun Gao

“…Driven by the rapid advancement of Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) technologies, improving power quality and system stability during charging and discharging has become a research focus. …”
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Optimization of Adaptive I²H &#x221E; Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

“…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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An Anti-Interrupted-Sampling Repeater Jamming Method Based on Simulated Annealing–2-Optimization Parallel Optimization of Waveforms and Fractional Domain Extraction by Ziming Yin, Pengcheng Guo, Yunyu Wei, Sizhe Gao, Jingjing Wang, Anxiang Xue, Kuo Wang

“…Firstly, the proposed method employs the SA-2opt parallel optimization algorithm to optimize the joint frequency and chirp rate encoding waveform. …”
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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…The ML model incorporated gestational age, birth weight, postnatal age, and serum creatinine values. The algorithm used all these covariates to predict one of five outcomes: survival with/without AKI, mortality with/without AKI, and hospitalized non-NE controls. …”
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AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…In addition, it examines the role of cloud computing, edge AI, and distributed systems in enabling real-time transaction monitoring and fraud detection. …”
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Automatic diagnosis of agromyzid leafminer damage levels using leaf images captured by AR glasses by Zhongru Ye, Yongjian Liu, Fuyu Ye, Hang Li, Ju Luo, Jianyang Guo, Zelin Feng, Chen Hong, Lingyi Li, Shuhua Liu, Baojun Yang, Wanxue Liu, Qing Yao

“…To address these issues, an advanced survey system that combines augmented reality (AR) glasses with a camera and an artificial intelligence (AI) algorithm was developed in this study to objectively and accurately assess leafminer damage in the field. …”
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SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics by Jiaqi Yao, Nan Xu, Mengran Wang, Tong Liu, Hui Lu, Yongqiang Cao, Xinming Tang, Fan Mo, Huanyu Chang, Haiying Gong, Huichao Xin, Hao Xu

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Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma by Zhixin Sun, Jacqueline M. Godbe, Alexander Zheleznyak, Brad Manion, Junhao Hu, Julie L. Prior, Kathleen Duncan, Ulugbek S. Kamilov, Monica Shokeen

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Mapping dominant plant communities in the degraded Zoige swamp using Sentinel-1/2 imagery and its implications for vegetation restoration by Guoying Zhang, Chuanpeng Zhao, Mingming Jia, Rong Zhang, Hou Jiang, Zongming Wang

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Deep learning techniques for sentiment analysis in code-switched Hausa-English tweets by Yusuf Aliyu, Aliza Sarlan, Kamaluddeen Usman Danyaro, Abdullahi Sani abd Rahman, Aminu Aminu Muazu, Mustapha Yusuf Abubakar

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A Green Cloud-Based Framework for Energy-Efficient Task Scheduling Using Carbon Intensity Data for Heterogeneous Cloud Servers by B. M. Beena, Prashanth Cheluvasai Ranga, Thotapalli Sri Surya Manideep, Sneha Saragadam, Garikipati Karthik

“…This heightened focus on energy efficiency has driven the need for advanced scheduling systems that reduce carbon emissions and operational expenses. …”
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