THE IMPORTANCE OF USING GIS IN INCREASING THE EFFICIENCY OF AGRICULTURAL FARMS - A BIBLIOMETRIC APPROACH by Mirela PLESA, Liviu MARCUTA, Alina MARCUTA, Alexandru FINTINERU, Andreea Roxana FIRĂŢOIU, Ovidiu GUSAN

“…GIS technology provides solutions to these problems through its ability to collect, analyze and visualize complex geospatial data. …”
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SD-YOLO: A Robust and Efficient Object Detector for Aerial Image Detection by Shuaihui Qi, Yi Sun, Xiaofeng Song, Jiting Li, Tongfei Shang, Li Yu

“…Three novel plug-and-play modules: The star operation block, the dual-path downsampling module with an attention mechanism, and the low-level detection head, are designed in SD-YOLO to enhance its ability to learn discriminative features and recognize tiny targets in aerial images. …”
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Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks by ALEKSANDAR JEVREMOVIC, Zona Kostic, Ivan Chorbev, Dragan Perakovic, Andrii Shalaginov, Ivan Cvitic

“…The ability to process data locally using complex algorithms is becoming increasingly important in Internet of Things (IoT) contexts. …”
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AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…The results illustrate the framework ability to effectively balance energy efficiency, performance, and ecological impact. …”
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Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…These mechanisms ensure dynamic anchor feature selection and extend the scope of deformation ability, respectively. According to the ablation experiment on a self-built dataset, LPDD-YOLO demonstrates notable improvements in both accuracy and efficiency compared to the original model. …”
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Influence of Coarse Aggregate Exposure on Air Purification Efficiency in Photocatalytic Cement Composites by Karol Chilmon, Maciej Kalinowski, Wioletta Jackiewicz-Rek

“…The observed decline in photocatalytic efficiency in composites with exposed coarse aggregate was attributed to the coarse aggregate’s limited ability to retain nanometric photocatalyst particles, which reduced the overall TiO₂ content in the composite’s near-surface layer. …”
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RESEARCH ON THE EFFICIENCY OF PROCESSING PARALLEL REQUESTS BY AMAZON WEB SERVICES USING CONTAINERS by Oleg Sigunov, Lidiia Demkiv

“…The article explores the efficiency of a web application deployed in AWS cloud services using containerization based on AWS ECS and AWS EKS. …”
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Water quality prediction using LSTM with combined normalizer for efficient water management by N. Mahesh, J. Jagan Babu, K. Nithya, S.A. Arunmozhi

“…In recent research, deep learning algorithms have been extensively used for water quality prediction due to their robust ability to map highly nonlinear connections while maintaining acceptable computational efficiency. …”
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A comprehensive study on pH-sensitive nanoparticles for the efficient delivery of drugs by Pallavi Bachta, Vikas Jakhmola, Nidhi Nainwal, Poonam Joshi, Richa Bahuguna, Meenu Chaudhary, Kapil Kumar, Arun Kumar Singh, Praveen Kumar

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SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector by Weimin Che, Hui Zhang, Bangxue Wu, Qun Li, Hongji Zhang, Shilong Yuan, Hongcheng Yang

“…This paper introduces SFG-YOLOv8, an efficient and lightweight gesture keypoint detector designed for low-computational-power AR scenarios. …”
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Spacer Designs for Improved Hydrodynamics and Filtration Efficiency in Sea Water Reverse Osmosis by Sarah Kerdi, Adnan Qamar, Henry J. Tanudjaja, Noreddine Ghaffour

“…This finding confirms the S spacer’s ability to enhance RO performance while reducing energy consumption.…”
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GDFC-YOLO: An Efficient Perception Detection Model for Precise Wheat Disease Recognition by Jiawei Qian, Chenxu Dai, Zhanlin Ji, Jinyun Liu

“…This method is based on YOLOv11 and encompasses three key aspects of improvement: (1) a newly designed Ghost Dynamic Feature Core (GDFC) in the backbone, which improves the efficiency of disease feature extraction and enhances the model’s ability to capture informative representations; (2) a redesigned neck structure, Disease-Focused Neck (DF-Neck), which further strengthens feature expressiveness, to improve multi-scale fusion and refine feature processing pipelines; and (3) the integration of the Powerful Intersection over Union v2 (PIoUv2) loss function to optimize the regression accuracy and convergence speed. …”
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Microplastic contamination and removal efficiency in greywater treatment using a membrane bioreactor by Suda Ittisupornrat, Chayanin Namyuang, Athit Phetrak, Paranee Sriromreun, Suthida Theepharaksapan, Suthida Theepharaksapan

“…This study underscores the potential of MBR technology for efficient MP removal in household buildings, contributing to the mitigation of MP discharge into the environment. …”
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Mechanical harvesting of cell sheets: an efficient approach for bone and cartilage tissue engineering by Fatemeh Leisi Mehrabani, Yalda Alibeigian, Mohamadreza Baghaban Eslaminejad, Samaneh Hosseini

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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…Specifically, these include the data-efficient model, which deepens the hierarchical encoder by adding convolution layers to transformer blocks and increases feature map resolution within transformer blocks, and the FPN-based model, which enhances the decoder through a Feature Pyramid Network (FPN) and attention mechanisms. …”
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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

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Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection by Debasish Ghose, Ayan Chatterjee, Indika A. M. Balapuwaduge, Yuan Lin, Soumya P. Dash

“…Heart rate variability (HRV) is widely used as a measure of stress due to its ability to capture variations in the time intervals between heartbeats. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…Moreover, this work highlights the ability of proposed deep learning models to offer tailored therapy approaches depending on degree of severity and automates dysarthria diagnosis process.…”
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An Efficient and Automated Classification System for Rocks Based on Visually Explainable Deep Learning by Shan Lin, Quanke Hu, Hongwei Guo, Miao Dong, Kaiyang Zhao, Hong Zheng, Zhijun Liu

“…This article presents an explainable EfficientNet model for eight-class rock classification, pretrained on a novel dataset. …”
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Formulation of Alginate- and Pectin-Based Beads Encapsulating Trichoderma for Sustainable and Efficient Agriculture by Atália Inocêncio Ngulela, Zohra Bengharez, Imene Slamani, Selma Mahboubi

“…The formulation of polysaccharide-based beads encapsulating <i>Trichoderma</i> spp. represents an eco-friendly strategy for promoting sustainable and efficient agriculture. Trichoderma, a beneficial fungus, is well known for its ability to enhance plant growth, combat phytopathogens, and improve soil health. …”
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