CIRCUIT TECHNOLOGY OF LIGHTGUIDE PYROMETRY IN CASTING AND METALLURGY by A. P. Markov, E. I. Marukovich, E. M. Patuk, Ju. L. Stanulenis, A. G. Starovojtov

“…The modern circuit realizations of structural and algorithmic transformations of pyrometry and thermal control are considered.…”
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Television in and After the Archive: Catalogues, Databases, Interfaces and Other Ways to Organize Audiovisual Records by Giulia Taurino, Georgia Aitaki

“…This editorial essay introduces the VIEW Journal of European Television History and Culture Special Issue on how algorithmic curation mediates archival practices and influences the management, preservation and accessibility of television content. …”
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Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations by Sarah A. Mess, MD, Alison J. Mackey, PhD, David E. Yarowsky, PhD

“…The neural network algorithms of LLMs have unpredictable sensitivity to user input and inherent variability in their output. …”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Simultaneously, we encourage advancements in existing ML algorithms to enhance the accurate real-time detection of planned and onset terrorism disasters.…”
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A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
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A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images by Yu-Ping Wang, Ashok Kumar Dandpat

“…The algorithms have been tested on images from normal cells, showing the improvement in classification accuracy. …”
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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…The performance of both algorithms is analyzed based on precision, recall, f1-score, and support. …”
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A Distribution Agnostic Rank-Based Measure for Proximity Search by Mayur Garg, Ashutosh Nayak, Rajasekhara Reddy Duvvuru Muni

“…Extant algorithms depend on distance-based metrics to find the closest data points. …”
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Data-Driven Approach for Modeling the Nonlane-Based Mixed Traffic Conditions by Narayana Raju, Shriniwas S. Arkatkar, Said Easa, Gaurang Joshi

“…The data were used to extract the parameters required for modeling the vehicles’ positions using machine learning algorithms. Three established supervised machine learning algorithms (k-NN, random forest, and regression tree) and deep learning are selected to model mixed traffic conditions. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…In performing such tasks, these frameworks face three challenges: computational inefficiency due to high I/O and communication costs, non-scalability to big data due to memory limit, and limited analytical algorithms because many serial algorithms cannot be implemented in the MapReduce programming model. …”
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Estimation of Blood Pressure by Image-Free, Wearable Ultrasound by Ana Belen Amado Rey

“…We validated these algorithms in silico, in vitro, and ex vivo, where tissue and artery phantoms help emulate human physiology. …”
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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…Artificial intelligence with data science can improve the quality of restaurants, cafes, online delivery food chains, hotels, and food outlets by increasing production utilizing different fitting algorithms for sales prediction. AI could significantly improve packaging, increasing shelf life, a combination of the menu by using AI algorithms, and food safety by making a more transparent supply chain management system. …”
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Plant Leaf Recognition through Local Discriminative Tangent Space Alignment by Chuanlei Zhang, Shanwen Zhang, Weidong Fang

“…Manifold learning based dimensionality reduction algorithms have been payed much attention in plant leaf recognition as the algorithms can select a subset of effective and efficient discriminative features in the leaf images. …”
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Recursive Elucidation of Polynomial Congruences Using Root-Finding Numerical Techniques by M. Khalid Mahmood, Farooq Ahmad

“…In this paper we put forward a family of algorithms for lifting solutions of a polynomial congruence mod p to polynomial congruence mod pk. …”
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OPTIMIZING ENERGY CONSUMPTION FOR WIRELESS SENSOR NETWORKS by Lại Thị Nhung, Nguyễn Thị Hòa, Lê Đăng Nguyên, Nguyễn Gia Như, Đặng Thanh Hải

“…Comparative analysis of algorithms proposed with traditional clustering algorithms LEACH, LEACH-C, K-Mean and FCM will confirm the effectiveness of the proposed solution.…”
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Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages by Tomasz Wiejak, Jakub Smołka

“…For the needs of article, algorithms were created in each studied language, operating on the same test set and using algorithms from the same group. …”
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Better Evidence and UpToDate Training Module 3: Additional UpToDate Functionality by Kabale University Library

“…This module explains Drug Database and Drug Interactions,How to use Clinical Calculators and Graphics and Algorithms…”
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A Game Theoretic Model for Wireless Sensor Networks with Hidden-Action Attacks by Yuxin Mao, Ping Zhu, Guiyi Wei

“…We explore game theory algorithms to model situation for wireless network with malicious nodes and investigate the attack and detection problem by modeling it as pairwise simultaneous game and spatial structured game. …”
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PSGpower: A MATLAB toolbox for analyzing sleep EEG data by Ahren B. Fitzroy, Rebecca M.C. Spencer

“…Workflows include existing algorithms from EEGLAB and FieldTrip and custom algorithms. …”
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Review on artificial intelligence chip technology system by Yuxia SHI

“…Artificial intelligence technology is the new focus of current countries.The development of artificial intelligence technology has put forward new requirements for computing chips.Deep learning algorithms require the training of massive data,while traditional computing architectures can’t support the large-scale computing requirements of deep learning algorithms.Therefore,artificial intelligence chips of new architectures emerge one after another.The different technical routes of artificial intelligence chips were analyzed,the characteristics of different routes were compared,the development trend of artificial intelligence chip industry and studied,the opportunities and challenges of artificial intelligence chip development in China were analyzed,and the future development of artificial intelligence chip technology was forecasted.…”
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