Mapping West Java Northern waters quality using sea water quality standards by Mercy Patanda, Dwi Ernaningsih, Mario Limbong

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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…A precision-recall curve was determined and the binary and multiclass datasets obtained an F1 score of 0.81 versus 0.72. …”
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Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

“…The study utilized a dataset comprising astronomical images captured by an open-source large-field-of-view optical telescope. …”
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Feasibility of Ex Vivo Ligandomics by Prabuddha Waduge, Remya Ammassam Veettil, Bojun Zhang, Chengchi Huang, Hong Tian, Wei Li

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Machine learning-assisted prediction of durability behavior in pultruded fiber-reinforced polymeric (PFRP) composites by Ammar A. Alshannaq, Mohammad F. Tamimi, Muath I. Abu Qamar

“…This paper employs various machine learning models to predict the mechanical properties under various environmental exposures. A large dataset of experimental results of pultruded composites exposed to moisture, alkaline or acidic solutions, temperature, UV radiation, freeze-thaw and wet-dry cycles, and in-situ environments has been collected from literature and used to train and test the machine learning models. …”
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Air Quality and Public Health Risk Assessment: A Case of an Industrial Area in Haridwar City, Uttarakhand (India) by Alka Pant, Ramesh Chandra Joshi, Sanjay Sharma, Kamal Pant

“…Conclusion: The seasonal ARIMA (0,1,0) (1,0,0)[12] model may be helpful to forecast the AQI values for a nonstationary time series dataset. Research indicates that the air of the SIDCUL area will become moderately polluted and may cause breathing discomfort to asthma patients’ health. …”
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Disseminating Authorized Content via Data Analysis in Opportunistic Social Networks by Chenguang Kong, Guangchun Luo, Ling Tian, Xiaojun Cao

“…Then, we propose our SCP-based Dissemination (SCPD) algorithm to calculate the optimum number of content copies to disseminate when two users meet. Our dataset based simulation shows that our SCPD algorithm is effective and efficient to disseminate the authorized content in IOSNs.…”
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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…We utilize ResNet50 and ViT architectures with Faster-RCNN for detection and recognition, developed using PyTorch 2.0. The dataset comprises 2000 samples, and 30% and 60% labeled data are employed. …”
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Model Deep Learning Untuk Klasifikasi Objek Pada Gambar Fisheye by Riza Ayu Putri, Arief Suryadi Satyawan, Johanes Adi Prihantono, Rinda Safana Linggi, I Gusti Ayu Putri Surya Paramita, Ni Kadek Emy Iswarawati, Fabian Akbar, Prio Adjie Utomo

“…Sedangkan untuk melatih dan memvalidasi model tersebut digunakan  900 gambar dataset. Hasil pengujian pada penelitian Skripsi ini menunjukan bahwa pada 7 layer CNN menghasilkan nilai presisi, recall dan akurasi tertinggi dengan komposisi nilai presisi 98,56%, recall 98,5% dan akurasi 98,59%. …”
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An Expository Examination of Temporally Evolving Graph-Based Approaches for the Visual Investigation of Autonomous Driving by Li Wan, Wenzhi Cheng

“…Robustness, accuracy, and resource consumption experiments are performed using the publicly available KITTI dataset to analyze and compare the three methods. …”
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Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

“…A detailed study using a real-world dataset of IMDb movie reviews demonstrated this. The study emphasizes the benefits of utilizing intricate sentiment scores in addition to conventional rating data. …”
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Associates of Cardiopulmonary Arrest in the Perihemodialytic Period by Jennifer E. Flythe, Nien-Chen Li, Shu-Fang Lin, Steven M. Brunelli, Jeffrey Hymes, Eduardo Lacson

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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…We trained and tested linear and nonlinear models with ablation studies on a novel ensemble body shape dataset containing 4286 scans. Nonlinear GPR produced up to a 20% reduction in prediction error and up to a 30% increase in precision over linear regression for both sexes in 10 tested body composition variables. …”
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Beyond the microbiome: unraveling gut dysbiosis and its impact on systemic lupus erythematosus by Yara Safwat Roshdy, Shwikar Mahmoud Ahmed, Mona Gamaleldeen Morsi, Ahmed Shaaban, Samar Farouk Fouad Mostafa

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Hybrid-Driven Dynamic Position Prediction of Robot End-Effector Integrating Parametric Dynamic Model and Machine Learning by Hepeng Ni, Cong Xu, Yingxin Ye, Bo Chen, Shuangsheng Luo, Shuai Ji

“…Additionally, a dynamics-integrated (DI) dataset construction scheme is developed for network training to boost the prediction accuracy. …”
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The Effect of Visual Feedback on Writing Size in Parkinson’s Disease by Adriaan R. E. Potgieser, Elizabeth Roosma, Martijn Beudel, Bauke M. de Jong

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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…After testing on the BIRD dataset, compared with most NL2SQL models based on large language models, EX is at least 2.73% higher than the original method, F1 is at least 3.72 higher than the original method, and VES is 6.34% higher than the original method. …”
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Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment by Soronzonbold Otgonbaatar, Dieter Kranzlmuller

“…Lastly, we defined the optimal sharing between an HPC+QC system for executing QML models for hyperspectral satellite images. These are a unique dataset compared with other satellite images since they have a limited number of input quantum bits and a small number of labeled benchmark images, making them less challenging to deploy on quantum computers.…”
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Badges of (Dis-)Honour: Manifesting the ‘Conquest’ of Uluṟu via Wearable Material Culture by Dirk H. R. Spennemann, Sharnie Hurford

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Adaptive CNN Ensemble for Complex Multispectral Image Analysis by Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman, Arif Budiman

“…Moreover, the extensive training dataset, proper regularization, optimized hyperparameters (model and training), and more appropriate CNN architecture significantly contributed to retaining the performance accuracy.…”
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