IEEE

SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method

Abstract: Cervical cancer remains a major cause of morbidity and mortality worldwide, highlighting the need for early detection and effective treatment strategies. This study develops a robust deep ...
Scientific Research Publishing

Laerd Statistics (2018). Linear Regression Analysis Using SPSS Statistics.

ABSTRACT: The role of effective procurement management in enhancing project performance is crucial, particularly within the context of Lusaka Water and Sanitation Company (LWSC). Despite the ...
IEEE

Material Segmentation Using 1-D Convolutional Neural Network With Transient Histogram

Abstract: This study introduces a method for material classification using transient histograms obtained via a single-photon avalanche diode (SPAD) sensor. Temporal resolution in optical sensing plays ...
Entrepreneur

How to Use Segmentation, Targeting and Positioning in Business Branding and Marketing

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...
Frontiers

An automatic laryngoscopic image segmentation system based on SAM prompt engineering: from glottis annotation to vocal fold segmentation

Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...
Scientific Research Publishing

Felstead, A., Jewson, N., Phizacklea, A., & Walters, S. (2000). Measuring the Extent and Characteristics of Working at Home in the UK. In Annual Conference of the International ...

ABSTRACT: Purpose: This study examines how work-life balance (WLB) practices affect employees’ work-life balance satisfaction (WLBS) and overall job satisfaction (JS), grounded in social exchange ...
EurekAlert!

Medical image segmentation using multi-head self-attention-based residual double u-net

The MHSAttResDU-Net incorporates RCC for complexity control and improved generalization under varying lighting. The SSRP unit in encoder-decoder blocks reduces feature map dimensions, capturing key ...