CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. by Gowtham A Rao, Azza Shoaibi, Rupa Makadia, Jill Hardin, Joel Swerdel, James Weaver, Erica A Voss, Mitchell M Conover, Stephen Fortin, Anthony G Sena, Chris Knoll, Nigel Hughes, James P Gilbert, Clair Blacketer, Alan Andryc, Frank DeFalco, Anthony Molinaro, Jenna Reps, Martijn J Schuemie, Patrick B Ryan

“…<h4>Objective</h4>This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.…”
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Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…Therefore, given its simpler architecture and lower processing time requirements, the YOLOv8n model was used to evaluate the grading system in real-time mode. The overall classification accuracy of this model was 92%, with a sensitivity range of 87.10–94.89% for distinguishing different classes of oleaster at a grading velocity of 21.51 cm/s. …”
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Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: Cross-Sectional Feasibility Study by Md Raihan Mia, Sheikh Iqbal Ahamed, Samuel Nemanich

“…Different statistical methods (ie, Pearson correlation, mean, standard deviation, P value, 95% confidence interval) were used to compare speed-accuracy tradeoffs and evaluate the relationship between age and motor performance. …”
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The Effectiveness of MALDI ToF Mass Spectrometry in Identification of <i>Francisella tularensis</i> Strains by A. K. Syngeeva, A. S. Ostyak, E. S. Kulikalova, A. V. Mazepa, K. V. Naumova, S. V. Balakhonov

“…Based on the cluster analysis of 66 F. tularensis strains in BioNumerics 7.6 software using «Pearson correlation» and the UPGMA algorithm, the possibility of subspecies differentiation has been evaluated. …”
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…The computed Approximate Entropy values for each load and configuration are then used as features in the proposed algorithm. Finally, the algorithm&#x2019;s performance is evaluated by assessing its series arc fault detection performance and its ability to minimize false detections during normal operation.…”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…As the complexities surrounding these relationships have become better understood, it has allowed us to develop increasingly more complex systems for identifying and detecting facial expressions of different emotions. This paper presents an improved performance of the Facial Expression Recognition (FER) systems via augmentation in Artificial Neural Networks and Genetic Algorithms, two renowned artificial intelligence techniques possessing disparate strengths. …”
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Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…The efficacy of various machine learning algorithms and remote sensing features in extracting vineyard information was subsequently evaluated and compared. …”
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A novel multi-scale and fine-grained network for large choroidal vessels segmentation in OCT by Wei Huang, Qifeng Yan, Lei Mou, Yitian Zhao, Wei Chen, Wei Chen, Wei Chen

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Construction of a model for predicting sensory attributes of cosmetic creams using instrumental parameters based on machine learning by He Jingru, Qian Xuedan, Huang Hu, Lin Bao, Zhang Jun, Zhang Chunxiao, Chen Yuyan

“…Extensive instrumental parameters, including rheological, tribological, and textural properties of ten different skin creams, were collected, and 22 sensory attribute scores were obtained from trained expert evaluations. …”
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Thermal-Hydraulic Network Model for steady-state thermal analysis and design of power transformer magnetic cores by L.H. Medeiros, M.M. Oliveira, C.E.G. Falcão, V.C. Bender, T.B. Marchesan

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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance by Abhijeet Das

“…The geospatial approaches namely, Inverse Distance Weighted (IDW) has been implemented to draw the interpolated maps for different water quality parameters. Water samples were collected from 19 different sites to evaluate 20 water quality indicators during the pre-monsoon (PRM) season. …”
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Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study by Zongren Ding, Jianxing Zeng, Guoxu Fang, Pengfei Guo, Weiping Zhou, Yongyi Zeng

“…The results showed that the AUC of the ChatGPT 4o was 0.755. Machine learning algorithms use Random Forest, Support Vector Machine, Logistic Regression, XGBoost and Decision Tree, the AUC of 5 machine learning algorithms was range from 0.534 to 0.624. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…The results show that the model and algorithm are effective in terms of planning cost and computational efficiency, taking the 24-node distribution network as the experimental object. …”
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MKD-Net: A Novel Neuro Evolutionary Approach for Blockchain-Based Secure Medical Image Classification Using Multi-Kernel DLM by Virendra P. Vishwakarma, Abhay Kumar Yadav

“…Multiple kernels are employed in the proposed MKD-Net for different data representations in the classification of heterogeneous data. …”
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Real-Time Trajectory Planning and Effectiveness Analysis of Intercepting Large-Scale Invading UAV Swarms Based on Motion Primitives by Yue Zhang, Xianzhong Gao, Jian’an Zong, Zhihui Leng, Zhongxi Hou

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Ensemble intelligence prediction algorithms and land use scenarios to measure carbon emissions of the Yangtze River Delta: A machine learning model based on Long Short-Term Memory. by Qi Dai, Xiao-Yan Liu, Fang-Yi Sun, Fang-Rong Ren

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Application of NIR Spectral Standardization Based on Principal Component Score Evaluation in Wheat Flour Crude Protein Model Sharing by Jing Tian, Xinyu Chen, Zhennan Liang, Wenliang Qi, Xiaohuan Zheng, Daoli Lu, Bin Chen

“…The results show the following: (1) The difference between spectra can be quantitatively evaluated through analyzing SSER and PCSER. (2) After standardization by the three algorithms, the spectral difference between the three target and the master spectrometers is significantly reduced and the prediction effect of the master model is greatly improved. (3) Among the three algorithms, DS algorithm had the smallest error rate in standardizing spectra from three target spectrometers. …”
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Cloud federation three-layer architecture: game-theoretic QoS modeling by MA Kun, HU Chuangyue, ZHANG Yuzhi, MA Fangchao, WANG Xiaodong, DANG Zhonghua, XIAO Wenhong, CHEN Shuangxi

“…At the application to virtual layer, an innovative task allocation strategy based on the differential evolution (DE) algorithm was proposed, specifically designed to handle multi-QoS task distribution challenges. …”
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A Novel Linearly Complex Extended Signed Response-Based Node Authentication Scheme for Internet of Medical Things by Muhammad Saud Khan, Muhammad Sardaraz, Muhammad Tahir, Abdullah Alourani

“…Consequently, the conventional solutions used for conventional wireless networks do not apply to wireless sensor networks due to the differences in algorithms and associated costs in terms of processing and power consumption. …”
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Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

“…We use the extinction-weighted aerosol optical centroid height (AOCH) derived from aerosol extinction profiles of Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) as the ground truth. The differences due to the inconsistent definitions of ALH in various retrieval algorithms are investigated and eliminated before comparison. …”
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