The investigation of chemical speciation primary toxic metal(loid)s (Cd, Pb, and As) in soil profile nonferrous metal smelting site is a key to the assessment their mobility characteristics formulation subsequent remediation strategy. In this study, 74 samples were collected at 12 different profiles; physio-chemical properties total content Cd, Pb As corresponding also determined. results showed that mean concentration followed order > Cd. A large proportion Cd accumulated upper profiles...

This paper focuses on the crucial task of automatic recognition and understanding table structures in engineering drawings document processing. Given importance tables information display urgent need for automated processing digitalization process, an intelligent verification method is proposed. integrates multiple key techniques: YOLOv10 used object recognition, achieving a precision 0.891, recall rate 0.899, mAP50 0.922, mAP50-95 0.677 demonstrating strong target detection capabilities;...

In the realm of short video streaming, popular adaptive bitrate (ABR) algorithms developed for classical long applications suffer from catastrophic failures because they are tuned to solely adapt bitrates. Instead, (SABR) have properly determine which at level together content prefetching, without sacrificing users' quality experience (QoE) and yielding noticeable bandwidth wastage jointly. Unfortunately, existing SABR methods inevitably entangled with slow convergence poor generalization....

Contemporary real-time video communication systems, such as WebRTC, use an adaptive bitrate (ABR) algorithm to assure high-quality and low-delay services, e.g., promptly adjusting according the instantaneous network bandwidth. However, target decisions in control codec are typically incoordinated simply ignoring effect of inappropriate resolution frame rate settings also leads compromised results control, thus devastatingly deteriorating quality experience (QoE). To tackle these challenges,...

The objective of the manuscript is to propose a hybrid algorithm combining improved BM25 algorithm, k-means clustering, and BioBert model better determine biomedical articles utilizing PubMed database so, number retrieved whose content contains much similar information regarding query specific disease could grow larger.In paper, two-stage retrieval method proposed conduct an Text-Rank algorithm. first stage consists employing assign scores in identify 1000 publications with highest scores....

Similar to the problems surrounding carbon transfers that exist in international trade, there are severe emission headaches regional industrial systems within countries. It is essential for reduction control and restructuring clarify relationship of emissions flows between sectors identify key carbon-emitting sectors. Supported by input–output model (I-O model) social network analysis (SNA), this research adopts tables (2017), energy balance sheets (2021) statistics yearbooks three Chinese...

With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic. However, existing algorithms must sacrifice either consistency with ground truth or perceptual quality at bitrate. In recent years, rapid development Large Multimodal Model (LMM) made it possible to balance these two goals. To solve this problem, paper proposes method called Image Semantic Compression (MISC), which consists an LMM encoder for extracting semantic...

Content providers increasingly replace traditional constant bitrate with variable (VBR) encoding in real-time video communication systems for better quality. However, VBR often leads to large and frequent fluctuation, inevitably deteriorating the efficiency of existing adaptive (ABR) methods. To tackle it, we propose Anableps consider network dynamics VBR-encoding-induced fluctuations jointly deploying best ABR policy. With this aim, uses sender-side information from past predict range...

Effective Adaptive Bitrate (ABR) algorithm or policy is of paramount importance for Real-Time Video Communication (RTVC) amid this pandemic to pursue uncompromised quality experience (QoE).Existing ABR methods mainly separate the network bandwidth estimation and video encoder control, fine-tune bitrate towards estimated bandwidth, assuming maximization utilization yields optimal QoE.However, QoE an RTVC system jointly determined by compressed video, fluency playback, interaction delay.Solely...

Developing blind video deflickering (BVD) algorithms to enhance temporal consistency, is gaining importance amid the flourish of image processing and generation. However, intricate nature data complicates training deep learning methods, leading high resource consumption instability, notably under severe lighting flicker. This underscores critical need for a compact representation beyond pixel values advance BVD research applications. Inspired by classic scale-time equalization (STE), our...

Larger deep learning models usually lead to higher model quality with an ever-increasing GPU memory footprint. Although tensor checkpointing techniques have been proposed enable training under a restricted budget, the input dynamics unexploited for optimizing performance while reducing Specifically, due diverse datasets and subsequent data argumentation, size per mini-batch is dynamic during process, leading changing However, leverage such in checkpointing, there are two challenges be...

Effective Adaptive BitRate (ABR) algorithm or policy is of paramount importance for Real-Time Video Communication (RTVC) amid this pandemic to pursue uncompromised quality experience (QoE). Existing ABR methods mainly separate the network bandwidth estimation and video encoder control, fine-tune bitrate towards estimated bandwidth, assuming maximization utilization yields optimal QoE. However, QoE a RTVC system jointly determined by compressed video, fluency playback, interaction delay....

In the realm of short video streaming, popular adaptive bitrate (ABR) algorithms developed for classical long applications suffer from catastrophic failures because they are tuned to solely adapt bitrates. Instead, (SABR) have properly determine which at level together content prefetching, without sacrificing users' quality experience (QoE) and yielding noticeable bandwidth wastage jointly. Unfortunately, existing SABR methods inevitably entangled with slow convergence poor generalization....

Content providers increasingly replace traditional constant bitrate with variable (VBR) encoding in real-time video communication systems for better quality. However, VBR often leads to large and frequent fluctuation, inevitably deteriorating the efficiency of existing adaptive (ABR) methods. To tackle it, we propose Anableps consider network dynamics VBR-encoding-induced fluctuations jointly deploying best ABR policy. With this aim, uses sender-side information from past predict range...

Contemporary real-time video communication systems, such as WebRTC, use an adaptive bitrate (ABR) algorithm to assure high-quality and low-delay services, e.g., promptly adjusting according the instantaneous network bandwidth. However, target decisions in control codec are typically incoordinated simply ignoring effect of inappropriate resolution frame rate settings also leads compromised results control, thus devastatingly deteriorating quality experience (QoE). To tackle these challenges,...

Abstract Background: Retrieving gene and disease information from a very large collection of biomedical abstracts to provide doctors with clinical decision support is one the important research directions Precision Medicine. Method: We propose new method for retrieval articles utilizing expanded word co-word implementations conducting Cuckoo Search optimize parameters function in final stage proposed method. The specific goal retrieve addressing treatments. employed this manuscript first...