A feasibility study of ballet education using measurement and analysis on partial features of still scenes by So-Hyun Park, Gwang-Soo Hong, Sun-Woo Park, Aziz Nasridinov, In-Ja Park, Byung-Kyu Kim, Young-Ho Park

“…We propose the use of a lower body joint point estimation algorithm and a closest foot points estimation algorithm that can efficiently perform image localization for recognition of basic ballet movements. …”
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Perbandingan Random Forest dan Convolutional Neural Network dalam Memprediksi Peralihan Pelanggan by Dewa Adji Kusuma, Atika Ratna Dewi, Andreas Rony Wijaya

“…The limitation of this research is how to handle the two algorithms being compared. Both use different approaches, namely Supervised Learning and Deep Learning. …”
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A Combination of Two Conjugate Gradient Methods Under A New Line Search with its Application in Image Restoration Problems by Maiza Asma, Ziadi Raouf, Saleh Mohammed A., Almaymuni Abdulgader Z.

“…Furthermore, the proposed algorithm is applied for restoring images with different noise levels.…”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…Additionally, due to the growth and changing processes of plants, corresponding dynamic simulation algorithms need to be established. By summarizing and analyzing the green space-related components of existing digital information model standards both domestically and internationally, this research explores different expression methods suitable for green space information modeling by focusing on three aspects: model composition, data relationship, and analytical evaluation applications. …”
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A practical vehicle routing problem in small and medium cities for fuel consumption minimization by Yong-Jin Pak, Kyong-Ho Mun

“…For large-scale instances, we proposed a heuristic algorithm based on the variable neighborhood search and evaluated its performance. …”
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Quantifying the impact of external and internal factors and their interactions on thermal load behaviour of a building by Christoph Matschi, Isabell Nemeth

“…To determine the strength of the influence of the individual parameters on the building heating load, to check whether the influence of the parameters is constant or varies over the year and whether parameters are missing here, the results of the parameter study are evaluated statistically. First results show promising results in the detection of the significant parameters, for the creation of a model based on a machine learning algorithm, and the possibility of quantifying their impact on building heating load behaviour.…”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…The first discusses several methodological issues of this algorithm. It also evaluates the differences between matrices aij and raij, involving both categories of accuracy measures - either the “cell-by-cell” comparison or the aggregated indicators. …”
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Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments by Lotfi Salhi, Adnane Cherif

“…This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. …”
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Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

“…Several key parameters and criteria are considered to achieve an efficient design. Additionally, different network layouts are evaluated, including looped and non-looped systems with varying numbers of reservoirs. …”
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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

“…This highlights the method’s effectiveness across different types and enhancement requirements and emphasizes the importance of the proposed preferences in different contexts.…”
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Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data by Shilpa Gaikwad, Sonali Kothari, Ignisha Rajathi G

“…This dataset of ours can be used by researchers to develop and test algorithms to classify apples and estimate their ripeness and the presence of diseases. …”
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Caffeine Content Prediction in Coffee Beans Using Hyperspectral Reflectance and Machine Learning by Dthenifer Cordeiro Santana, Rafael Felipe Ratke, Fabio Luiz Zanatta, Cid Naudi Silva Campos, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Natielly Pereira da Silva, Gabriela Souza Oliveira, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Matildes Blanco, Paulo Eduardo Teodoro

“…Each database was subjected to different machine learning models: artificial neural networks (ANNs), decision tree (DT), linear regression (LR), M5P, and random forest (RF) algorithms. …”
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Unveiling Hidden Structures: Multi-Platform IoT Malware Analysis Using Graph Embeddings by Remus M. Petrache, Ciprian Oprisa, Camelia Lemnaru

“…Moreover, we propose an efficient method for computing graph similarities for graphs with multiple connected components, which achieves accuracy on par with the cubic Hungarian Algorithm matching approach. The evaluations conducted on a dataset containing clean samples and malware from 18 distinct families indicate that our CFG embedding similarity approach can easily identify most malware family samples belonging to the same family, for the same platform, obtaining AUC scores above 90%. …”
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HSF-IBI: A Universal Framework for Extracting Inter-Beat Interval from Heterogeneous Unobtrusive Sensors by Zhongrui Bai, Pang Wu, Fanglin Geng, Hao Zhang, Xianxiang Chen, Lidong Du, Peng Wang, Xiaoran Li, Zhen Fang, Yirong Wu

“…The algorithm is morphology-independent and can be adapted to different sensors. …”
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S. Spitz nevus – Clinical, Dermatoscopic and Histological Features Correlation – Cases Report by T. Shulaia, N. Kiladze, A. Miriamidze

“…Digital dermatoscopic images were captured using Dermatoscope (DermLite DL3) mounted on the digital camera Galaxy S-4 Samsung Corporation) using the ultrasound gel for imersion dermatoscopy. All images were evaluated in accordance with algorithm of H. Kittler. …”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…Additionally, the generalizability of our model was evaluated on the heart dataset from the Medical Segmentation Decathlon (MSD) challenge, confirming its robustness across different clinical scenarios involving LA segmentation.…”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. …”
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Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

“…The proposed Temporal, Spatial, and Contextual Anomalous Social Activity Miner (TSCASA-Miner) algorithm is experimentally evaluated with a naive alternative and related studies. …”
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Five machine learning algorithms were evaluated using comprehensive statistical validation including bootstrap confidence intervals and significance testing. …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

“…The characteristic indexes of different fault conditions were evaluated, and the private rule database of each working condition was obtained. …”
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