REQUIREMENTS FOR EFFICIENT PCR CLAMPING BY LOCKED NUCLEIC ACID OLIGONUCLEOTIES FOR SIMPLE AND SENSITIVE DETECTION OF SOMATIC MUTATIONS by V. A. Shamanin, I. V. Karpov, E. E. Pisareva, N. I. Gutkina, S. P. Kovalenko

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LSOD-YOLOv8: Enhancing YOLOv8n with New Detection Head and Lightweight Module for Efficient Cigarette Detection by Yijie Huang, Huimin Ouyang, Xiaodong Miao

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Efficient and accurate tobacco leaf maturity detection: an improved YOLOv10 model with DCNv3 and efficient local attention integration by Yi Shi, Hong Wang, Fei Wang, Yingkuan Wang, Jianjun Liu, Long Zhao, Hui Wang, Feng Zhang, Qiongmin Cheng, Shunhao Qing

“…This research addresses the inherent subjectivity and variability in conventional maturity evaluation techniques reliant on human expertise by introducing an innovative YOLOv10-based method for tobacco leaf maturity detection. This technique facilitates a rapid and non-invasive assessment of leaf maturity, significantly elevating the accuracy and efficiency of tobacco leaf quality evaluation. …”
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An efficient Spotted Hyena Optimizer based Multi-user Detection for Polar Encoder by B. G. G. Alexander, A. Rino 2, A. R. Anthonymuthu

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Development of an efficient mixed mode heart disease detection model using machine learning and deep learning techniques by Reddy C. Ravi Shankar, A Niranjan, Kumari P.V. Gopi, Rajendra Babui Y.

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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

“…Our approach incorporates a low-level prediction head (P2) to detect small objects from shallow feature maps, while removing a deep-level prediction head (P5) to mitigate the effects of excessive down-sampling. …”
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Efficient detection of melon-powdery mildew interactions by a medium-free inoculation by Jianquan Wang, Shuoshuo Wang, Yongjie Guo, Zongxia Hu, Mengmeng Yin, Qinghua Shi, Xiaoyu Yang

“…This stimulated pathogen development on MF-treated leaves was further supported by microscopic observations relative to LM-treated ones, revealing the great potential of MF inoculation in high-efficiency detection of the interplay between melon and P. xanthii. …”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…Therefore, there is an urgent need for a compact and energy-efficient implementation of an outlier detection technique which may be deployed on AIoT primitives, including wireless sensor nodes for in-situ outlier detection and generation of high-quality data. …”
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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

“…Accurate and timely crop disease detection is critical for reducing agricultural losses and ensuring food security in low-resource settings. …”
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pQueue-MAC: An Energy Efficient Hybrid MAC Protocol for Event-Driven Sensor Networks by Liantao Wu, Shuguo Zhuo, Zhibo Wang, Zhi Wang

“…To solve the problem, we propose a novel MAC protocol, called pQueue-MAC, to achieve high energy efficiency when no event is detected and still guarantee immediate yet energy efficient data transmission when events are detected. pQueue-MAC uses preamble sampling to check potential communications in low traffic condition. …”
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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…However, the acquisition of this information is almost impossible without the ability to detect the onset time of the seismic event. The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

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Customization of an efficient and cost-effective optical biosensor for trace cadmium detection in milk samples by Varsha S. Pawar, Shivaji D. Pawar, Harish Mudila, Arif D. Sheikh, Ajeet Kaushik, Anil Kumar

“…Remarkably, the optical biosensor exhibits great stability and efficiency in detecting Cd ions in milk as low as 4.8 μg/L. …”
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ASSESSMENT OF EFFICIENCY OF THE MODIFIED IFA METHOD AIMED TO DETECT ANTIBODIES AGAINST TUBERCULOSIS FOR DEVELOPMENT AND DIAGNOSTICS OF TUBERCULOSIS IN HIV PATIENTS by A. P. Tsibulkin, I. M. Khаertynovа, R. Sh. Vаliev, K. S. Khаertynov

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Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases by Congcong Yuan, Jie Zhang

“…The availability of a tremendous amount of seismic data demands seismological researchers to analyze seismic phases efficiently. Recently, deep learning algorithms exhibit a powerful capability of detecting and picking on P- and S-wave phases. …”
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Comparison of Signal Detection of GaAsP and GaAs PMTs for Multiphoton Microscopy at the 1700-nm window by Yuxin Wang, Kai Wang, Wenhui Wen, Ping Qiu, Ke Wang

“…Our results show that with a 1667-nm excitation, GaAsP PMT is more efficient for signal detection of a 3-photon fluorescence of quantum dot Qtracker 655, third-harmonic generation signal, and a 4-photon fluorescence of fluorescein, whereas GaAs PMT is far superior in detecting a second-harmonic generation signal. …”
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Spike Stall Precursor Detection in a Single-Stage Axial Compressor: A Data-Driven Dynamic Modeling Approach by Anish Thapa, Jichao Li, Marco P. Schoen

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EcoDetect-YOLOv2: A High-Performance Model for Multi-Scale Waste Detection in Complex Surveillance Environments by Jing Su, Ruihan Chen, Mingzhi Li, Shenlin Liu, Guobao Xu, Zanhong Zheng

“…The integration of an efficient multi-scale attention (EMA) mechanism prior to the P2 head further improves the model’s capacity to detect small-scale targets, while bolstering robustness against cluttered backgrounds and environmental noise, as well as generalizability across scale variations. …”
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

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YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes by Jinwang Yi, Wei Han, Fangfei Lai

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