Study on User Fraud Identification of PV Expansion Based on a Bottom-Up Approach of a DELM Algorithm Improved by SSA for a Power Distribution Network by Wang Jinpeng, Wei Haojie, Dou Shunyao, Jeremy-Gillbanks, Zhao Xin

“…Finally, the proposed approach is validated both in simulation and using measurement data from real networks. The algorithm’s performance in detecting fraudulent behavior in outdated electromagnetic meters is evaluated and verified. …”
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A Multi-Dimensional Evaluation of Street Vitality in a Historic Neighborhood Using Multi-Source Geo-Data: A Case Study of Shuitingmen, Quzhou by Guoquan Zheng, Lingli Ding, Jiehui Zheng

“…This study takes the Shuitingmen Historical and Cultural Neighborhood in Quzhou, China, as a case study and develops a multi-dimensional vitality evaluation framework incorporating point-of-interest (POI) data, location-based service (LBS) heatmaps, street network data, historical resources, and environmental perception indicators. …”
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Optimized Motion Capture for Cricket Shot Classification Using Minimal Hardware and Machine Learning by J. Ishan Randika, Kanishka Rajamanthri, Avishka Kothalawala, Niroshan Gunawardana, Ashan Induranga, Pathum Weerakkody, Kaveendra Maduwantha, B. T. G. S. Kumara, Kaveenga Koswattage

“…Motion data collected from the system was analyzed to extract distinct angle variation patterns associated with different batting shots. These patterns were used to train a hybrid machine learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. …”
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Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review by Sergio Agudelo-Pérez, Daniel Botero-Rosas, Laura Rodríguez-Alvarado, Julián Espitia-Angel, Lina Raigoso-Díaz

“…Observational and qualitative studies evaluating AI in the analysis of breastfeeding patterns and human milk composition have been conducted. …”
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A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition by CHEN Xiaoxin, ZHOU Tonghao, LIU Jiangming, DAI Pengfei, LIU Yanqi, LI Wendong, ZHANG Guanjun

“…To enhance the precision and reliability of GIS partial discharge detection by utilizing the phase information in discharge spectra， this paper proposes a neural network-based PD pattern recognition method that incorporates cosine similarity. …”
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Efficient scheme for user's trajectory privacy by Feng-hua LI, Cui ZHANG, Ben NIU, Hui LI, Jia-feng HUA, Guo-zhen SHI

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Parking search identification in vehicle GPS traces by Siavash Saki, Tobias Hagen

“…Utilizing this unique dataset, we developed a deep learning neural network model that accurately identifies parking search routes in GPS data and predicts search duration. …”
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A novel approach to intrusion detection system using hybrid flower pollination and cheetah optimization algorithm by Deepshikha Kumari, Prashant Pranav, Abhinav Sinha, Sandip Dutta

“…Key performance metrics were analysed to assess the model’s effectiveness in detecting malicious activities in complex network traffic patterns. The hybrid model demonstrated superior performance compared to existing IDS approaches. …”
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Botnet detection in internet of things using stacked ensemble learning model by Mudasir Ali, Muhammad Faheem Mushtaq, Urooj Akram, Daniel Gavilanes Aray, Manuel Masias Vergara, Hanen Karamti, Imran Ashraf

“…The UNSW-NB15 dataset is used to train machine learning models and evaluate their effectiveness in detecting cyber-attacks on IoT networks. …”
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Text Select-Backdoor: Selective Backdoor Attack for Text Recognition Systems by Hyun Kwon, Jang-Woon Baek

“…Deep neural networks exhibit excellent image, voice, text, and pattern recognition performance. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…A convolutional neural network (CNN) is then used to reduce the dimensionality of all feature vectors, including those in the training set. …”
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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

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A Coupled Coordination and Network-Based Framework for Optimizing Green Stormwater Infrastructure Deployment: A Case Study in the Guangdong–Hong Kong–Macao Greater Bay Area by Jiayu Zhao, Yichun Chen, Rana Muhammad Adnan Ikram, Haoyu Xu, Soon Keat Tan, Mo Wang

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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…To further evaluate immune microenvironmental features, unsupervised clustering was applied to identify immunological subgroups. …”
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Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke, Thakhani Ravele

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Comparative Efficacy and Safety of Potassium-Competitive Acid Blocker– and Proton Pump Inhibitor–Based Bismuth Quadruple Therapy for Helicobacter pylori Eradication: A Network Meta... by Iqbal Taufiqqurrachman, Ari Fahrial Syam, Hasan Maulahela, Murdani Abdullah, Muhammad Miftahussurur, Yoshio Yamaoka

“…Therefore, tailored therapies based on local resistance patterns remain critical considerations in clinical practice.…”
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Prevalence of infection and associated factors after intramedullary nailing in African countries with the Surgical Implant Generation Network program: A systematic review and meta-... by Destaw Endeshaw, Natnael Kebede, Abiyu Abadi Tareke, Ousman Adal, Eyob Getachew, Asnake Gashaw Belayneh, Getnet Alemu Andargie, Kedir Seid, Gebeyehu Lakew, Amlaku Nigusie Yirsaw, Mitiku Tefera, Eyob Ketema Bogale, Tadele Fentabel Anagaw, Eneyew Talie Fenta

“…Objective: To assess the prevalence of infection and associated factors after Surgical Implant Generation Network nailing in African countries with the Surgical Implant Generation Network program. …”
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A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…This paper proposes and assesses three Gaussian Process-based hybrid models—GP-RBM (Random Boosting Machine), GP-LSTM (Long Short-Term Memory), and GP-CNN (Convolutional Neural Network)—for forecasting COVID-19 mortality cases in the USA, France, and India. …”
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Deep learning-based debris flow hazard detection and recognition system: a case study by Fei Wu, Jianlin Zhang, Dunlong Liu, Andreas Maier, Vincent Christlein

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