Corn variety identification based on improved EfficientNet lightweight neural network by Jinpu Xu, Jinpu Xu, Jinhao Lan, Guangjie Lv, Dexin Ma

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Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression by Mengtao Wang, Shengliang Fang, Youchen Fan, Shunhu Hou

“…To tackle these problems, we propose an RC-SEI method based on efficient design and model compression. Specifically, for efficient design, we have developed a lightweight convolution network (LCNet) that aims to balance performance and complexity. …”
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AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites by Ioannis Kouroudis, Poonam, Neel Misciasci, Felix Mayr, Leon Müller, Zhaosu Gu, Alessio Gagliardi

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Efficient Identification Method of Fractured Leaky Layers Based on Pressure Gauge Arrays by XING Xuesong, ZHOU Changsuo, WANG Yumei, WU Yi, SHI Jian, GU Jijun

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Efficient identification of maximum independent sets in stochastic multilayer graphs with learning automata by Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Alireza Rezvanian

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AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases by Muhammad Umair Ali, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar, Seong-Han Kim

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Comparison of EfficientNetB0 and EfficientNetB7 Models in Classifying Malaria Based on Blood Cells by Muhammad Rizkiansyah Maulana Kiki, Zamah Sari, Didih Rizki

“…This research used two test scenarios to obtain a more effective classification model. The first scenario uses Hyperparameter Tuning and the EfficientNetB0 model with classification results of 95%. …”
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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…Fractional-order systems capture complex dynamic behaviors more accurately than integer-order models, yet their real-time identification remains challenging, particularly in resource-constrained environments. …”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…Additionally, a sensitivity analysis evaluates the influence of temperature and pressure on the model, with results indicating that the proposed method achieves higher efficiency than other approaches. …”
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Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs by Mohammed A. Abbas, Watheq J. Al-Mudhafar, Aqsa Anees, David A. Wood

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Ensemble EfficientNet: a novel technique for identification, classification and prediction of diabetic retinopathy by Nilesh Shelke, Rachna Somkunwar, Amit Pimpalkar, Sudhanshu Maurya, Sharda Chhabria

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Real-Time Visual Identification System to Assess Maturity, Size, and Defects in Dragon Fruits by Lambert Marc A. Cometa, Robert Kobe T. Garcia, Mary Ann E. Latina

“…Advanced deep learning models (EfficientNet and YOLOV8) were trained on a diverse dataset of dragon fruit images collected from online sources and a local farm using DSLR and smartphone cameras. …”
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Innovative Ghost Channel Spatial Attention Network with Adaptive Activation for Efficient Rice Disease Identification by Yang Zhou, Yang Yang, Dongze Wang, Yuting Zhai, Haoxu Li, Yanlei Xu

“…To address the computational complexity and deployment challenges of traditional convolutional neural networks in rice disease identification, this paper proposes an efficient and lightweight model: Ghost Channel Spatial Attention ShuffleNet with Mish-ReLU Adaptive Activation Function (GCA-MiRaNet). …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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Efficient Cache Performance Equivalent 2D-Texel to Memory Mapping Identification for Embedded GPUs by Ahmed El-Mahdy, Marwa K. Elteir, Kholoud Shata

“…This paper presents, for the first time, a parameterized model capable of describing the underlying multidimensional tiling layouts governing this mapping. …”
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A Efficient Drilling Fluid Loss Location Identification Method Based on Temperature and Flow Logging by NIU Buneng, CHEN Haojun, WANG Lu, SUN Yaping, WEI Baojun, ZHAO Pan

“…By optimizing the string combination of logging tools, designing fast wellhead tools and improving the technological process, the combined logging tool can be used to carry out dynamic and static measurement in open hole wells to realize efficient identification of drilling fluid loss location. …”
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Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome by Gabriela Meza-Fuentes, Iris Delgado, Mario Barbé, Ignacio Sánchez-Barraza, Mauricio A. Retamal, René López

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Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency by Boyuan Zhang, Xibang Yang, Tong Xie, Shuyuan Zhu, Bing Zeng

“…Evaluated via self-built datasets and cross-validated with public corpora, filamentary convolution improves the low-level feature extraction efficiency and synergizes with temporal models (LSTM/TDNN) to boost recognition. …”
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Key Factors Determining the Required Number of Training Images in Person Re-Identification by Taku Sasaki, Adam S. Walmsley, Kazuki Adachi, Shohei Enomoto, Shin'Ya Yamaguchi

“…Focusing on person re-identification datasets, this paper proposes a new method to estimate the test accuracy curve over the training image number in a precise, interpretable, and efficient manner to receive financial and privacy protection benefits. …”
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IMPROVING THE EFFICIENCY OF THE FINANCIAL CONTROL SYSTEM IN TERMS OF THE RISK-ORIENTED MODEL by M. N. Ponkratova

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