Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…By providing accurate and timely information on fish feeding behavior, the model can help optimize feeding strategies, reduce feed waste, and improve the overall efficiency and profitability of aquaculture operations. Furthermore, the model's ability to handle complex detection scenarios and maintain high detection accuracy while keeping computational costs within manageable limits makes it a practical and valuable tool for real-time applications in aquaculture. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…The findings indicate significant improvement in parking management via accurate prediction of occupancy trends, identification of peak demand, and detection of payment and violation issues. …”
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The role of artificial intelligence in managing hospitalized patients with mental illness: a scoping review by Md Samiun, Moustaq Karim Khan Rony, Sumaiya Yeasmin, Mia Md Tofayel Gonee Manik, Anupom Debnath, Mustakim Bin Aziz, Afia Fairooz Tasnim, Sadia Islam Nilima

“…Furthermore, AI improved hospital operations through efficient bed management, patient flow optimization, and staff scheduling. …”
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EVALUASI SISTEM INFORMASI MANAJEMEN DAERAH – BARANG MILIK DAERAH MENGGUNAKAN FRAMEWORK ITIL PADA AREA SERVICE OPERATION DENGAN PENDEKATAN FRAMEWORK CMMI-SVC by I Gede Satya Mulyawan, I Made Candiasa, Dewa Gede Hendra Divayana

“…These conditions can increase the risk of incidents in service delivery that have not been detected. In this study, an evaluation of SIMDA-BMD was carried out using the Information Technology Infrastructure Library (ITIL) framework version 3 especially the service operation area combined with the Capability Maturity Model Integration for Services (CMMI-SVC) framework with the goal approach. …”
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Diagnostic cholangioscopy for surgical planning of extrahepatic cholangiocarcinoma by Min Je Sung, Suk Pyo Shin, Chang-Il Kwon, Incheon Kang, Sung Hwan Lee, Seok Jeong Yang, Beodeul Kang, Hong Jae Chon, Gwangil Kim, Chansik An, Kwang Hyun Ko

“…The ability of single-operator cholangioscopy (SOC) to detect and stage extrahepatic cholangiocarcinoma (CCC) in intraductal lesions is becoming more important in determining the extent of surgery. …”
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Special Vehicle Classification Algorithm-Based System for Dedicated Parking Zone Violation Detection in South Korea by Hyunseong Park, Kapyeol Kim, Incheol Jeong, Jungil Jung, Jinsoo Cho

“…These two algorithms are designed for real-time object detection and efficient preprocessing, respectively, and can operate in real time in resource-constrained edge-device environments. …”
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Sherlock Holmes Between Homogeneity Tests: Detection Power Based on Profitability Ratios in the V4 Region by Pavol Durana, Roman Blazek, Erika Kovalova

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Automatic detection of Cyanobacterial blooms using multi-source optical satellite imagery: method development and application by Hailong Zhang, Chen Lu, Deyong Sun, Xiaomin Ye, Shengqiang Wang, Quan Qin

“…This study presents a novel automatic and rapid approach for detecting CyanoBloom in lakes, providing valuable technical support for water quality monitoring and bloom management.…”
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Amazon Web Service–Google Cross-Cloud Platform for Machine Learning-Based Satellite Image Detection by David Pacios, Sara Ignacio-Cerrato, José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Nikolaos Schetakis, Konstantinos Stavrakakis, Alessio Di Iorio, Jorge J. Gomez-Sanz, Luis Vazquez

“…Cloud computing offers a flexible way to allocate resources and simplifies the management of infrastructure. In this study, we propose a cross-cloud system for ML-based satellite image detection, focusing on the financial and performance aspects of utilizing Amazon Web Service (AWS) Lambda and Amazon SageMaker for advanced machine learning tasks. …”
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Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis by Sara Maria Santos Dias da Silva, Marcelo Saito Nogueira, Jaqueline Maria Brandão Rizzato, Simone de Lima Silva, Sheila Cavalca Cortelli, Roger Borges, Herculano da Silva Martinho, Rodrigo Augusto Silva, Luis Felipe das Chagas e Silva de Carvalho

“…Traditional methods have limitations, either due to their invasiveness or insufficient sensitivity to detect subtle biochemical alterations, therefore, FT-IR spectroscopy may be a valuable noninvasive tool for objective cervical assessment to potentially guide clinical labor management.…”
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Detection Capability Analysis of Field of View-Gated Optical Imaging System for All-Time Star Sensor by Liang Fang, Hui Zhang, Xin Cheng, Zhenjie Fan, Zhiyuan Liao, Qiang Zhang, Rujin Zhao

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A case of pleuroperitoneal communication in which establishing a laparoscopic pneumoperitoneum was useful for the detection of a fistula by Takehiko Manabe, Kenji Ono, Soichi Oka, Yuichiro Kawamura, Toshihiro Osaki

“…Although there have been several reports concerning the management of this condition, we have encountered several cases in which control failed. …”
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Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting by Daben Yu, Zongping Li, Qinglun Zhong, Yi Ai, Wei Chen

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Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge by Lorenzo Bernardini, Francesco Morgan Bono, Andrea Collina

“…Structural ageing and material deterioration require infrastructure managers to continuously seek for improved solutions for bridge condition management. …”
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A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI by Rashiduzzaman Shakil, Sadia Islam, Bonna Akter

“…This research is focused on developing diagnostic frameworks with automated tools to improve the detection and management of cervical cancer, as well as on helping healthcare professionals deliver more efficient and personalized care to their patients.…”
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Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan by Takeo Nakayama, Yusuke Tsugawa, Hiroshi Yoshihara, Memori Fukuda, Sho Okiyama

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Photoacoustic Resonators for Non-Invasive Blood Glucose Detection Through Photoacoustic Spectroscopy: A Systematic Review by Md Rejvi Kaysir, Thasin Mohammad Zaman, Shazzad Rassel, Jishen Wang, Dayan Ban

“…Effective diabetes management requires precise therapeutic strategies, primarily through self-monitoring of blood glucose levels to achieve tight glycemic control, thereby mitigating the risk of severe complications. …”
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Expert-driven explainable artificial intelligence models can detect multiple climate hazards relevant for agriculture by Arthur Hrast Essenfelder, Andrea Toreti, Lorenzo Seguini

“…Here, we show how expert-driven and explainable artificial intelligence models can probabilistically detect multiple agriculture-related hazards. The models are trained using the work of agro-climatic experts who, over decades, operationally identified multiple climate hazards affecting agriculture in Europe. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

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Distinct CTC Specific RNA Profile Enables NSCLC Early Detection and Dynamic Monitoring of Advanced NSCLC by Xiaoyu Wang, Pi Ding, Wenjuan Xu, Lei Qiu, Jing Ren, Yucheng Fei, Zhili Wang, Cheng Li, Yufei Xing, Mingjing Shen, Yawen Zhu, Yun Guo, Na Sun, Renjun Pei, Minhua Shi

“…Abstract Circulating tumor cells (CTCs) hold significant potential as biomarkers for the diagnosis and management of non‐small cell lung cancer (NSCLC). However, their clinical utility is limited by the heterogeneity of CTC subtypes and the need for robust, quantitative assays. …”
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