SpermYOLO: A Coordinated YOLO-Based Detector for Accurate and Efficient Sperm and Impurity Detection in Microscopic Images
针对微观图像中精子和杂质检测难题,提出基于YOLO改进的SpermYOLO框架,通过四项架构改进实现高效准确检测。
针对微观图像中精子和杂质检测难题,提出基于YOLO改进的SpermYOLO框架,通过四项架构改进实现高效准确检测。
This work addresses the edge and threshold effects in joint estimation of frequency and chirp rate for noisy linear frequency-modulated signals by proposing a deterministic two-stage estimator. In the first stage, time-centered zero-padding dechirping followed by FFT constructs a sampling array; in the second stage, alternating selective-p magnitude interpolation refines the estimate using fractional-bin DTFT samples. The method provides, for the first time, closed-form mean-square error and threshold characterizations across the full signal-to-noise ratio range, achieving asymptotically uniform estimation performance over the entire residual unit cell—including corners—and proves first-order immunity of chirp-rate estimation to unmodeled jerk. With N=256, the median estimation efficiency reaches 1.03 (worst-case 1.07), threshold prediction error remains below 1.0 dB, computational complexity is O(N log N), and latency is constant.
Escalating complexity and dynamism of cyber threats in the digital era necessitate a comprehensive historical and forward-looking understanding of web security evolution. Method: This paper employs a multidisciplinary methodology integrating historical analysis, technological trend forecasting, security architecture assessment, and cross-sectoral policy research to construct, for the first time, a five-decade framework charting the development of website information security since the 1960s. Contribution/Results: It innovatively synthesizes cutting-edge paradigms—including AI-driven defense, blockchain-based trust mechanisms, and post-quantum cryptography—into a cohesive next-generation web security roadmap that balances technical resilience with global collaborative governance. The study provides theoretical foundations and practical guidance for cybersecurity standardization, critical technology development, and workforce training, thereby significantly enhancing both the historical depth and future foresight of web security research.
针对微观图像中精子和杂质检测难题,提出基于YOLO改进的SpermYOLO框架,通过四项架构改进实现高效准确检测。
This work addresses the edge and threshold effects in joint estimation of frequency and chirp rate for noisy linear frequency-modulated signals by proposing a deterministic two-stage estimator. In the first stage, time-centered zero-padding dechirping followed by FFT constructs a sampling array; in the second stage, alternating selective-p magnitude interpolation refines the estimate using fractional-bin DTFT samples. The method provides, for the first time, closed-form mean-square error and threshold characterizations across the full signal-to-noise ratio range, achieving asymptotically uniform estimation performance over the entire residual unit cell—including corners—and proves first-order immunity of chirp-rate estimation to unmodeled jerk. With N=256, the median estimation efficiency reaches 1.03 (worst-case 1.07), threshold prediction error remains below 1.0 dB, computational complexity is O(N log N), and latency is constant.
Escalating complexity and dynamism of cyber threats in the digital era necessitate a comprehensive historical and forward-looking understanding of web security evolution. Method: This paper employs a multidisciplinary methodology integrating historical analysis, technological trend forecasting, security architecture assessment, and cross-sectoral policy research to construct, for the first time, a five-decade framework charting the development of website information security since the 1960s. Contribution/Results: It innovatively synthesizes cutting-edge paradigms—including AI-driven defense, blockchain-based trust mechanisms, and post-quantum cryptography—into a cohesive next-generation web security roadmap that balances technical resilience with global collaborative governance. The study provides theoretical foundations and practical guidance for cybersecurity standardization, critical technology development, and workforce training, thereby significantly enhancing both the historical depth and future foresight of web security research.