Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs by Mingwei Wu, Bo Jiang, Siji Chen, Hong Xu, Tao Pang, Mingke Gao, Fei Xia

“…This spatiotemporal information is integrated into a reinforcement learning framework that dynamically optimizes next-hop selection based on link stability, queue length, and node mobility patterns. To further enhance adaptability, the learning parameters are adjusted in real time according to network dynamics. …”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…The protocol achieves an average latency of 50 milliseconds, a packet loss rate below 2%, a success rate exceeding 95%, and highly efficient obstacle management, with adjusted nodes accounting for less than 5%. …”
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Low-Cost Sensor Network for Air Quality Assessment in Cabo Verde Islands by Anedito Zico da Costa, José P. S. Aniceto, Myriam Lopes

“…This study explores the application of low-cost sensor networks for air quality monitoring in Cabo Verde islands, utilizing Clarity Node-S sensors to measure fine particulate matter with diameters equal to or smaller than 10 µm (PM10) and 2.5 µm (PM2.5) and nitrogen dioxide (NO₂) gasses, across various locations. …”
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SC-Route: A Scalable Cross-Layer Secure Routing Method for Multi-Hop Inter-Domain Wireless Networks by Yanbing Li, Yang Zhu, Shangpeng Wang

“…Furthermore, a risk-aware dynamic key update strategy is developed to handle behavioral uncertainty among nodes, reducing authentication overhead and enhancing attack resilience. …”
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Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks. by Jihong Wang, Hao Ni, Yiyang Ge, Shuo Li

“…Therefore, it can help reduce node energy consumption and delay. Simulation results demonstrate that compared with representative event-driven clustering protocols, TD-IMOCRP can decrease the average number of covered nodes and the total energy consumption by more than 66.3% and 25%, respectively. …”
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Parameter Estimation for Line Impedance in Distribution Network Based on μPMU Data by Zitong ZHANG, Qun ZHOU, Yulin DIAN, Zichao GUAN, Yue YIN, Minrui LENG, Xueshan LIU

“…Finally, an example of a low voltage distribution network with 26 load nodes and 34 line branches is set up. Considering the actual measurement error, the average error of the line impedance parameter estimation is 3.87%. …”
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Evaluation of pea varieties based on correlation of quantitative traits and indices by О. І. Присяжнюк, Л. В. Король

“…Correlation relationships were established between the number of beans and the number of fruiting nodes and the number of carpophores containing 2 beans (r = 0,86–0,88), seed mass and plant mass (r = 0,81), the number of seeds per plant and plant mass and seed mass per plant (r = 0,78–0,81), the number of certified seeds and the number of seeds per plant (r = 0,84), the average number of beans per fertile node and the number of carpophores containing 2 beans (r = 0,74) that makes it possible to use them in assessing the productivity of plants.…”
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An Ensemble-Based Classifier to Determine the Harmonic Contribution Responsibility Between Utility’s Grid and Microgrids by Matheus C. Mella, Ricardo A. S. Fernandes, Daniel Barbosa

“…In order to validate the proposed approach, scenarios were simulated in the IEEE 34-node test feeder using the ATP/ATPDraw software, considering the harmonic sources located at different nodes of the feeder. …”
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Transforming Geospatial Data Management with a Scalable and Efficient Geo-Portal System by O.A. Oyeyode, T.O. IDOWU, D.N. OLAYINKA-DOSUMU, I.U. NZELIBE

“…Developed with open-source platforms such as Node.js, Express.js, and Leaflet, the geo-portal features advanced functionalities, including coordinate transformations, dynamic visualization, and geospatial analytics. …”
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Middle lobe tumors and lymphovascular invasion as independent predictors of recurrence-free survival in stage I NSCLC by Mustafa Akyıl, Serkan Bayram

“…Conversely, the presence of lymphovascular invasion (p < 0.003) and tumor localization in the middle node (p < 0.045) emerged as significant predictors of RFS. …”
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Performance Analysis of Parallel Free-Space Optical/Radio Frequency Transmissions in Satellite–Aerial–Ground Integrated Network with Power Allocation by Xin Li, Yongjun Li, Shanghong Zhao, Xinkang Song, Jianjia Li

“…Specifically, considering the limited transmit power of the relay node, we have studied the optimal power allocation between parallel FSO and RF links to further improve system energy efficiency. …”
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Path Planning of Underground Robots via Improved A* and Dynamic Window Approach by Jianlong Dai, Yinghao Chai, Peiyin Xiong

“…Experimental results demonstrate that the proposed method significantly reduces node expansions by 43.79%, computation time by 16.28%, and path inflection points by 80.70%. …”
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Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. by Willem de Haan, Katherine Mott, Elisabeth C W van Straaten, Philip Scheltens, Cornelis J Stam

“…Spike density and spectral power were positively correlated with structural and functional node degrees, confirming the high activity of hub regions, also offering a possible explanation for high resting state Default Mode Network activity. …”
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An Emergency Monitoring System for Power Cable Tunnels Based on Mobile Wireless Sensor Network by Xinqian XU, Lai XU, Jie CHEN, Yang LIU, Chaopeng ZHANG, Jiahong HE, Bingtuan GAO

“…The system consists of a monitoring host and a wireless monitoring network based on spherical robot mobile nodes. The mobile node employs STM32 series single-chip microcomputer as the main control chip, integrated with a camera module and a temperature humidity module to collect local information, integrated with WiFi communication module to form wireless sensor network using the ad hoc on-demand distance vector routing (AODV) protocol for transmitting the collected information, and integrated with 3 UWB communication modules to measure distances between nodes and to track the platoon. …”
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Development of a low-cost modular snake-like robot with 2-DOF modules for rescue operations in collapsed environments with fast communication by G Seeja, Arockia Selvakumar Arockia Doss, Berlin Hency, AS Faraz Ahmed

“…Victim detection is achieved using a transfer learning-based ResNet-50 model with 97.2% accuracy in an average detection time of 11.5 s. Then, the victim detection information is sent to the rescue teams’ mobile app with IoT using the IBM cloud and node-red.…”
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Perimetry criteria for assessing the effectiveness of retinoprotective therapy by Dmitry A. Dorofeev, Valery P. Erichev, Elena V. Kirilik, Ilya V. Kokorin, Polina A. Rakova, Olga B. Solovieva, Artem Z. Tsyganov, Anastasiya S. Chemyakina, Valery F. Ekgardt

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DPF-Bi-RRT^*: An Improved Path Planning Algorithm for Complex 3D Environments With Adaptive Sampling and Dual Potential Field Strategy by Lin Ge, Swee King Phang, Nohaidda Sariff

“…We perform comparative simulations of DPF-Bi-RRT* versus RRT*, Bi-RRT*, and APF-Bi-RRT* across three defined environments to demonstrate that DPF-Bi-RRT* results in lower average node counts, less computational time, and longer path lengths than all three. …”
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Long Short-Term Memory-Based Impact of Traffic Incidents: Case Study of Seoul Expressway, Korea by Sang-Hoon Bae, Duy Quang Tran, Bog-gi Park, Huy Tran Quang, Luan Nguyen Huu

“…Especially, the 10% VISSIM data penetration rate achieved the best performance with an average mean absolute percentage error (MAPE) of 24.80.…”
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A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs by J. Sengathir, A. Rajesh, Gaurav Dhiman, S. Vimal, C.A. Yogaraja, Wattana Viriyasitavat

“…In particular, prolonging network lifetime confirms the success together with the energy conservation of sensor nodes, data transmission reliability and scalability of their operation in data aggregation. …”
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Clinical Outcomes of Supraglottic Laryngeal Cancer: Insights from a Decade of Surgical Treatment by Yaşar Kemal Duymaz

“…The study evaluated factors including tumor location, tumor stage, lymph node metastasis, surgical approach, complications, histopathological findings, and adjuvant therapy. …”
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