A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…Finally, channel pruning is applied to remove inefficient channels, effectively reducing computational costs and optimizing resource allocation efficiency. …”
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BLformer: a short-term electrical bus load forecasting method based on enhanced Patch-TSTransformer by Hui Liu, Qian Chen, Di Zhang, Haiyun Wang, Xinchen Zhao, Zaichi Zhang, Lei Fu, Wei Wang, Sizhuang Chen

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Disaster in the Headlines: Quantifying Narrative Variation in Global News Using Topic Modeling and Statistical Inference by Fahim Sufi, Musleh Alsulami

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Research on Pedestrians’ Visual Perception Characteristics Based on USGGS: A Case Study of the Six Inner-City Districts of Tianjin by Hanwen YANG, Shang’en TSOU, Yike HU

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Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…The International Telecommunication Union’ (ITU) recommendations Y. 3510 present the requirements for cloud infrastructure that require monitoring the performance of deployed applications based on the collection of real-world statistics. Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…However, the effect on measurement accuracy is unclear. (2) Radiologist reading time generally decreased with artificial intelligence assistance in research settings. (3) Artificial intelligence assistance tended to increase allocated risk categories as defined by clinical guidelines. (4) No relevant clinical effectiveness and cost-effectiveness studies were identified. (5) The de novo cost-effectiveness analysis suggested that for symptomatic and incidental populations, artificial intelligence-assisted computed tomography image analysis dominated the unaided radiologist in cost per correct detection of an actionable nodule. …”
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Modeling and Performance Analysis of ECS-HTCARQ Protocol in Interference Scenario by Yongqiang Zhou, Qihao Wang, Zhenggang Song, Suoping Li, Nana Yang

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Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network by Qiyue Huang, Yuqing Zheng, Yuxuan Xu

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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…The MFLD algorithm leverages Deep Reinforcement Learning (DRL) techniques to automatically select UEs and allocate the computation resources according to the task requirement. …”
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Cloud-edge MQTT messaging for latency mitigation and broker memory footprint reduction by Yi-Hsuan Tseng, Chao Wang, Yu-Tse Wei, Yu-Ting Chiang

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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

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PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE by Widi Astuti, Fajar Sarasati

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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

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A Comparative Analysis of Deep Learning Models for Prediction of Microsatellite Instability in Colorectal Cancer by Ziynet Pamuk, Hüseyin Erikçi

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Energy Market Manipulation via False-Data Injection Attacks: A Review by Ghadeer O. Alsharif, Christos Anagnostopoulos, Angelos K. Marnerides

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Sum-Power Minimization in Multiuser Single-DF-Relay Networks with Direct Links by Shiguo Wang, Haixia Peng, Xianru Liu

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An exploratory study of history-based test case prioritization techniques on different datasets by Syed Muhammad Junaid Hassan, Dayang N. A. Jawawi, Johanna Ahmad

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Crop yield prediction using machine learning: An extensive and systematic literature review by Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, Fahima Lokman Niha, H.T. Zubair

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Machine Learning-Driven QoT Prediction for Enhanced Optical Networks in DWDM System by Sudha Sakthivel, Mohammad Riyaz Belgaum, Aznida Abu Bakar Sajak, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

“…In Optical Communication, the data can be communicated from source to destination through the established lightpaths. …”
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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

“…This innovative integration of IoT and ML has the potential to transform emergency response systems, optimizing resource allocation, reducing response times, and ultimately saving more lives in critical situations.…”
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