Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

“…The current study opts for the later approach due to its advantages in terms of speed, efficiency, and convenience. Convolutional neural network (CNN)‐based prominent models, such as MobileNet, ResNet50, Inception, and Xception, are preferred for automatic plant disease detection due to their high performance, but they demand substantial computational resources, limiting their use to a class of large‐scale farmers. …”
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Advanced Self-Driving Vehicle Model for Complex Road Navigation Using Integrated Image Processing and Sensor Fusion by Kalapraveen Bagadi, Naveen Kumar Vaegae, Visalakshi Annepu, Khaled Rabie, Shafiq Ahmad, Thokozani Shongwe

“…The model integrates state-of-the-art image processing techniques with advanced sensor fusion, utilizing EfficientDet D0 and Haar Cascade object detection models to identify obstacles, road signs, and traffic signals accurately. …”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Our approach is both effective and efficient for detecting DDoS attacks in IoV environments.…”
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Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information by Hong-rae Lee, Eun-bin Ahn, A-young Kim, Kwang-deok Seo

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MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

“…This approach significantly reduces the waste of computing resources when detecting small-sized flying objects. We also integrated autoanchor and batch size mechanisms to ensure efficient model training and avoid overfitting. …”
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Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge by Masfa Nasrullah Ansari, Abdul Razaq, Abdul Wakil Baidar, Dilshad Alghazzawi, Ghaliah Alhamzi

“…Abstract The selection of the most efficient actuator for biohybrid robots necessitates the implementation of precise and reliable decision-making (DM) methods. …”
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A machine learning-based efficient anomaly detection system for enhanced security in compromised and maligned IoT Networks by Anita Punia, Manish Tiwari, Sourabh Singh Verma

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Efficient Cloning Method that Selects the Recombinant Clones by Evgeny Loukianov, Tanya Loukianova, Muthu Periasamy

“…To remedy the problem, we developed a “positive selector” cloning strategy that provides positive selection for the recombinant clones. It is particularly useful when making complex recombinant constructs and the choice of restriction sites is limited.…”
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QUADRATURE MEASUREMENT METHOD FOR COMPLEX PARAMETERS OF MICROWAVE TWO-POLES by Yu. B. Gimpilevich, S. E. Zebek

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UV–Vis Detection of Thioacetamide: Balancing the Performances of a Mn(III)-Porphyrin, Gold Colloid, and Their Complex for Selecting the Most Sensitive Material by Camelia Epuran, Ion Fratilescu, Ionela Fringu, Anca Lascu, Liliana Halip, Mihaela Gherban, Eugenia Fagadar-Cosma

“…The optical detection of thioacetamide was investigated using a metalated porphyrin, Mn(III)-5,10,15,20-tetrakis-(3,4-dimethoxyphenyl)-21H,23H-porphyrin chloride (Mn-3,4-diMeOPP), a gold colloid solution (AuNPs), and a complex formed between them (Mn-3,4-diMeOPP–AuNPs) in order to select the most sensitive material and to achieve complementarity between methods. …”
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The impact of social complexity on the efficacy of natural selection in termites by Roux, Camille, Ha, Alice, Weyna, Arthur, Lode, Morgan, Romiguier, Jonathan

“…Our results demonstrate an elevated dN/dS ratio in termites compared to other members of Blattodea, further generalizing the idea that convergent evolution toward eusociality strongly reduces the effective population size and the genome-wide efficiency of natural selection. Then, by comparing 68 termite transcriptomes, we show that this decrease in natural selection efficiency is even more pronounced in termites displaying high levels of social complexity. …”
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Efficient deep learning based rail fastener screw detection method for fastener screw maintenance robot under complex lighting conditions by Yijie Cai, Ming He, Bin Chen

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SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems by Umesh Kumar Lilhore, Yogesh Kumar Sharma, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi

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Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models by Hamzeh F. Assous

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An Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing by Yongjun Huang, Shah Nazir, Jiyu Wu, Fida Hussain Khoso, Farhad Ali, Habib Ullah Khan

“…The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…There have been some exiting methods trying to solve the problem of malware detection, but the methods suffer from several defects, such as high time complexity and mediocre accuracy, which seriously decrease the practicability of existing methods. …”
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Efficient inter mode selection algorithm for H.264 by LU Lu, ZHOU Wei

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Low-Complexity Gaussian Detection for MIMO Systems by Tianbin Wo, Peter Adam Hoeher

“…Using factor graphs as a general framework and applying the Gaussian approximation, three low-complexity iterative detection algorithms are derived, and their performances are compared by means of Monte Carlo simulations. …”
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Low-Complexity Ultrasonic Flowmeter Signal Processor Using Peak Detector-Based Envelope Detection by Myeong-Geon Yu, Dong-Sun Kim

“…This paper proposes a low-complexity structure that ensures an accurate time-of-flight (ToF) estimation within an acceptable error range while reducing computational complexity. …”
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Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

“…However, the complex indoor environment and background pose challenges to the detection task. …”
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