Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies by Xuli Guo, Hailin Xiong, Shaoting Dong, Xiaobing Wei

“…Two machine learning algorithms were used to develop diagnostic signatures. …”
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A new application for reading optical form with standard scanner by using image processing techniques by Ayşe Eldem, Fatih Taha Özcan

“…The form in which the designed template will be printed on A4 paper instead of a special optical form and the system in which standard scanners will be used instead of the optical scanner, uses the image processing algorithms in the OpenCV library in the evaluation process which is an intermediate library developed in C#. …”
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Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric by Faizan Ahmad, Ahmed Baraka, César Cardona-Marin, Steffen Kieß, Dominik Wolfschläger, Robert H. Schmitt, Sven Simon

“…Furthermore, we propose a fast surface quality metric based on the marching cubes algorithm and Hausdorff distance to enable realtime monitoring of voxel dataset quality during continuous CT scans, as required in inline CT. …”
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Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL) by Mohd Rushidi Mohd Amin, Ismaanzira Ismail, Vinesh Maran Sivakumaran

“…This transformative technology holds the potential to revolutionize education delivery through personalized learning algorithms, adaptive learning, and intelligent tutoring systems, tailoring educational experiences to individual students. …”
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Time-variant left ventricle models for intracardiac impedance analysis by Voss Daniel, Wemmer Clara, Leonhardt Steffen, Walter Marian

“…The models, thus, provide a useful basis for the development of LVV estimation algorithms.…”
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Dynamic and Quantitative Method of Analyzing Service Consistency Evolution Based on Extended Hierarchical Finite State Automata by Linjun Fan, Jun Tang, Yunxiang Ling, Benxian Li

“…And also the service consistency evolution algorithms (SCEAs) based on EHS-FSA are developed to quantitatively assess these impact factors. …”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…This paper reviews the main approaches for estimating anthropogenic heat emissions. The typical algorithms of the abovementioned three methods are introduced, and their advantages and limitations are also evaluated. …”
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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang

“…This study is primarily focused on local simulation, where the proposed algorithm scored as high as 95.63%, with 95.44% precision, 99.52% recall, and 96.76% f1-score. …”
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Fast Optimal Replica Placement with Exhaustive Search Using Dynamically Reconfigurable Processor by Hidetoshi Takeshita, Sho Shimizu, Hiroyuki Ishikawa, Akifumi Watanabe, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba

“…This paper proposes a new replica placement algorithm that expands the exhaustive search limit with reasonable calculation time. …”
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A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment by Asghar Ali, Khan Khuram Ali, Rahman Atiqe Ur

“…Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. …”
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Trust-Centric and Economically Optimized Resource Management for 6G-Enabled Internet of Things Environment by Osama Z. Aletri, Kamran Ahmad Awan, Abdullah M. Alqahtani

“…TEO-IoT presents an end-to-end solution for security management and network traffic optimization, utilizing advanced algorithms for trust score estimation and anomaly detection. …”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

“…The AEGWO-Net demonstrates superior performance improving accuracy and F1 score by 6% and 4% respectively compared to PCA-IGWO and KPCA-IGWO algorithms. Achieving high accuracy (98.40%), F1-score (96.59%), MCC (97.14%), and AUC (96.21%) indicates the robustness and generalizability of the AEGWO-Net method even with reduced dimensionality. …”
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Climatological Study on Cyclone Genesis and Tracks in Southern Brazil from 1979 to 2019 by Bruna Alves Oliveira Destéfani, Micael Fernando Broggio, Carlos Alberto Eiras Garcia

“…Results indicate that the cycloTRACK algorithm is more effective at tracking more intense and consistent cyclones, excluding weaker systems. …”
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DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1 by Yu. A. Zenovich-Leshkevich-Ol’pinskiy, A. Yu. Naumov, A. Yu. Zenovich-Leshkevich-Ol’pinskaya

“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism by Zeynep Tanis, Ali Durusu

“…An innovative peer-to-peer market structure is proposed, supported by advanced algorithms, to enable direct energy trading among prosumers. …”
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Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge by Eloy López-Meneses, Luis López-Catalán, Noelia Pelícano-Piris, Pedro C. Mellado-Moreno

“…The study highlights ethical considerations, such as the need to protect privacy, ensure the transparency of algorithms, and promote equity, to ensure inclusive and fair learning environments. …”
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Exploration and Coordination of Complementary Multirobot Teams in a Hunter-and-Gatherer Scenario by Mehdi Dadvar, Saeed Moazami, Harley R. Myler, Hassan Zargarzadeh

“…Statistical analysis of extensive simulation results confirms the efficacy of the proposed algorithms compared in different environments with varying levels of obstacle complexities. …”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder. Reconstruction algorithms play a pivotal role in compressive imaging systems. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…Extensive experiments conducted based on brain tumor in MRI image public access databases and achieves significant results compared to state-of-the-art algorithms. In addition, we discussed the effectiveness and applicability of CNNs with a variety of different features and architectures for brain abnormalities such as Alzheimer’s.…”
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Measuring transducers for optical diagnostic system with multifunctional unitary photovoltaic converters by R. I. Vorobei, O. K. Gusev, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, L. I. Shadurskaya

“…Traditional solution of this problem lies in the field of multi-sensory systems, complex optical schemes and complex signal processing algorithms. The paper aims at the development of new measuring transducers for optical diagnostic system on a basis of multifunctional unitary photovoltaic converters built on semiconductors with low-concentration deep dopants that form multiple energy levels for different charge states in the band gap. …”
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