A Review of Environmental Sensing Technologies for Targeted Spraying in Orchards by Yunfei Wang, Zhengji Zhang, Weidong Jia, Mingxiong Ou, Xiang Dong, Shiqun Dai

“…Precision pesticide application is a key focus in orchard management, with targeted spraying serving as a core technology to optimize pesticide delivery and reduce environmental pollution. …”
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Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] by Zhihan Lv, Shuxuan Xie

“…In the intelligent manufacturing of production workshops, the establishment of a virtual workplace environment can provide timely fault warning, extend the service life of the equipment, and ensure the overall workshop operational safety. In smart city traffic, the real road environment is simulated, and traffic accidents are restored, so that the traffic situation is clear and efficient, and urban traffic management can be carried out quickly and accurately. …”
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A STUDY ON A MEASUREMENT SYSTEM FOR DETERMINING BULK DENSITY OF UNSATURATED SOILS BASED ON SOIL GAS PERMEABILITY by Shang Gao, Xianliang Wang, Yi-Jia Wang, Wenqi Zhao, Weifan Zhou

“…However, the rapid field detection of soil compaction remains a significant technical challenge. …”
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Design and analysis of a small satellite design hosting lidar sensor for data acquisition aimed at environmental protection by Paschalidis Maria, Kolios Stavros

“…The study also addresses advanced data analysis techniques for Lidar sensor data, focusing on signal processing, object detection, and feature extraction. The final section assesses the role of satellite data in C6ISR (Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance, and Reconnaissance) information management systems and their applications in Greek spotlight. …”
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Evaluation of UAV-Based RGB and Multispectral Vegetation Indices for Precision Agriculture in Palm Tree Cultivation by S. M. Anzar, K. Sherin, A. Panthakkan, S. Al Mansoori, H. Al-Ahmad

“…Simultaneously, RGB-based indices like Visible Atmospherically Resistant Index (VARI) and Modified Green Red Vegetation Index (MGRVI) delivered similar results in vegetation classification and stress detection. Our findings highlight the practical benefits of integrating RGB imagery into precision farming, reducing operational costs while maintaining accuracy in plant health monitoring. …”
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A critical review on security approaches to software-defined wireless sensor networking by Muhammad Saqib, Farrukh Zeeshan Khan, Muneer Ahmed, Raja Majid Mehmood

“…SDWSN has come into existence, and it legitimizes network operators with more flexibility and control over the network. …”
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Delay-Sensitive Routing Schemes for Underwater Acoustic Sensor Networks by N. Javaid, M. R. Jafri, S. Ahmed, M. Jamil, Z. A. Khan, U. Qasim, S. S. Al-Saleh

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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

“…The proposed method is a practical and operational method with high accuracy, which can be applied in the real world and used in the detection of security anomalies in networks using traffic classification and network data.…”
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A Study on the Role of LPA and ATX in Breast Cancer in Iraq by Anfal Akeel Taha, Hind Salman Jassim, Wafaa Fadhil Hamad

“… Breast cancer is the most common malignancy among women and a leading cause of cancer-related mortality. Early detection is crucial for improving treatment outcomes. …”
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Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…System approach, software architectural and algorithmic design, software quality management methods, system analysis, Qt framework, C++ programming language.Results. …”
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Genomic analysis of small renal masses reveals mutations linked with renal cell carcinoma and fast-growing tumors by Ieva Vaicekauskaitė, Algirdas Žalimas, Rasa Sabaliauskaitė, Kristina Žukauskaitė, Mantas Trakymas, Jurgita Ušinskienė, Albertas Ulys, Sonata Jarmalaitė

“…Currently, the genomic landscape of SRMs is understudied, and clinically relevant tools for malignancy detection and fast tumor growth prediction are lacking. …”
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Mean platelet volume in preterm infants as a predictor of late-onset neonatal sepsis: a retrospective comparative study by Abigail Goshen, Tzipora Strauss, Leah Leibovitch, Hagar Zohar, Ayelet Gavri-Beker

“…Rapid and accurate diagnosis poses a significant challenge—the non-specific clinical presentation of neonatal sepsis relies heavily on various laboratory indices for early detection and subsequent management. One such indicator under investigation is the mean platelet volume (MPV), which may serve as a predictive marker. …”
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Development of IoT-Based Hybrid Autonomous Networked Robots by Maki K. Habib, Chimsom I. Chukwuemeka

“…These systems help to extend coverage, maximize efficiency in data routing, and provide practical and reliable task management, among others. This article presents the development and implementation of an IoT-based hybrid ANR system integrated with different cloud platforms. …”
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Enzymatic remediation of polyester microfibers in sewage sludge and green compost samples by Cristina Palacios-Mateo, Esperanza Huerta-Lwanga, Jules A. W. Harings, Lars M. Blank

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Condition-Based Health Monitoring of Electrical Machines Using DWT and LDA Classifier by Faraz Ahmed Shaikh, Muhammad Zuhaib Kamboh, Bilal Ahmad Alvi, Sheroz Khan, Farhat Muhammad Khan

“…The faults have been detected through Motor Current Signature Analysis (MCSA) series procedures using the proposed method. …”
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Studies of the boron erosion and deposition in shadowed areas in EAST by Yuming Liu, Rong Yan, Lei Mu, Chuannan Xuan, Baoguo Wang, Yuqi Sheng, Zichao Lin, Ziqiang Zhou, Dahuan Zhu, Andrey Litnovsky, Junling Chen

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Use of Indices Combining Diastolic and Systolic Tissue Doppler Variables to Evaluate Right Ventricular Function in Dogs With Pulmonary Stenosis by Randolph L. Winter, Kara L. Maneval, Claudio Serrano Ferrel

“…Results The Ee′s′ index was lower (p = < 0.001) in healthy dogs (median 0.43, range 0.23–0.74) compared to dogs with PS pre‐operatively (1.49, 0.28–3.79). The e′a′s′ index was lower (p = 0.039) in healthy dogs (mean 8.03 ± 3.28) compared to dogs with PS pre‐operatively (11.39 ± 4.03). …”
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Research Progress and Applications of Artificial Intelligence in Agricultural Equipment by Yong Zhu, Shida Zhang, Shengnan Tang, Qiang Gao

“…The key innovations are highlighted in areas such as object detection and recognition (e.g., a K-nearest neighbor (KNN) achieved 98% accuracy in distinguishing vibration signals across operation stages); autonomous navigation and path planning (e.g., a deep reinforcement learning (DRL)-optimized task planner for multi-arm harvesting robots reduced execution time by 10.7%); state perception (e.g., a multilayer perceptron (MLP) yielded 96.9% accuracy in plug seedling health classification); and precision control (e.g., an intelligent multi-module coordinated control system achieved a transplanting efficiency of 5000 plants/h). …”
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Identification of pediatric MASLD using insulin resistance indices by Kyungchul Song, Eunju Lee, Hye Sun Lee, Young Hoon Youn, Su Jung Baik, Hyun Joo Shin, Hyun Wook Chae, Ji-Won Lee, Yu-Jin Kwon

“…Conclusions: METS-IR and SPISE are effective, non-invasive markers for predicting pediatric MASLD, which offer valuable tools for early detection and improved clinical management. Impact and implications: The increasing prevalence of pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) and its strong association with cardiometabolic risk factors underscore the need for effective early detection tools. …”
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Intelligent surgical drainage - digitizing the analysis of drainage fluid in patients with surgical drains. by Anastasia Meckler, Sebastian Künert, Leonardo Poggi, Julia Jeske, Lukas Schipper, Thanusiah Selvamoorthy, Felix Nensa, Bernadette Hosters, Michael Fabian Berger, Ramsi Siaj, Mario Vincent Roser

“…This study used a compact mini-spectrometer to analyze surgical drain output quickly and non-invasively. The spectrometer operates in the 340-850 nm range with 288 discrete detection channels. …”
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