Human society is currently facing significant and pressing issues in the form of serious environmental pollution and energy shortages,which have arisen owing to the rapid development of the economy and contemporary in...Human society is currently facing significant and pressing issues in the form of serious environmental pollution and energy shortages,which have arisen owing to the rapid development of the economy and contemporary industry.Photocatalysis has considerable potential as a viable technique for providing sustainable and environmentally friendly energy sources.The use of lanthanide-based photocatalysts on supporting substrates has garnered significant attention over the past decade within the scope of organic pollution remediation.Owing to its unique and promising bandgap,electrical conductivity,and stability,traditional GdVO_(4)exhibits remarkable photocatalytic performance with ongoing advances and advancements.This review provides an overview of the latest advancements in the modification techniques employed for GdVO_(4)-based photocatalysts,with a specific focus on their application in the photocatalytic degradation of organic pollutants.The supplied information provides a concise overview of current obstacles,limitations,advancements,mechanisms,and potential prospects for new opportunities.This review is anticipated to provide a significant reference and scientific justification for the active development of GdVO_(4)-based materials for environmental applications.展开更多
Presently,video surveillance is commonly employed to ensure security in public places such as traffic signals,malls,railway stations,etc.A major chal-lenge in video surveillance is the identification of anomalies that...Presently,video surveillance is commonly employed to ensure security in public places such as traffic signals,malls,railway stations,etc.A major chal-lenge in video surveillance is the identification of anomalies that exist in it such as crimes,thefts,and so on.Besides,the anomaly detection in pedestrian walkways has gained significant attention among the computer vision communities to enhance pedestrian safety.The recent advances of Deep Learning(DL)models have received considerable attention in different processes such as object detec-tion,image classification,etc.In this aspect,this article designs a new Panoptic Feature Pyramid Network based Anomaly Detection and Tracking(PFPN-ADT)model for pedestrian walkways.The proposed model majorly aims to the recognition and classification of different anomalies present in the pedestrian walkway like vehicles,skaters,etc.The proposed model involves panoptic seg-mentation model,called Panoptic Feature Pyramid Network(PFPN)is employed for the object recognition process.For object classification,Compact Bat Algo-rithm(CBA)with Stacked Auto Encoder(SAE)is applied for the classification of recognized objects.For ensuring the enhanced results better anomaly detection performance of the PFPN-ADT technique,a comparison study is made using Uni-versity of California San Diego(UCSD)Anomaly data and other benchmark data-sets(such as Cityscapes,ADE20K,COCO),and the outcomes are compared with the Mask Recurrent Convolutional Neural Network(RCNN)and Faster Convolu-tional Neural Network(CNN)models.The simulation outcome demonstrated the enhanced performance of the PFPN-ADT technique over the other methods.展开更多
文摘Human society is currently facing significant and pressing issues in the form of serious environmental pollution and energy shortages,which have arisen owing to the rapid development of the economy and contemporary industry.Photocatalysis has considerable potential as a viable technique for providing sustainable and environmentally friendly energy sources.The use of lanthanide-based photocatalysts on supporting substrates has garnered significant attention over the past decade within the scope of organic pollution remediation.Owing to its unique and promising bandgap,electrical conductivity,and stability,traditional GdVO_(4)exhibits remarkable photocatalytic performance with ongoing advances and advancements.This review provides an overview of the latest advancements in the modification techniques employed for GdVO_(4)-based photocatalysts,with a specific focus on their application in the photocatalytic degradation of organic pollutants.The supplied information provides a concise overview of current obstacles,limitations,advancements,mechanisms,and potential prospects for new opportunities.This review is anticipated to provide a significant reference and scientific justification for the active development of GdVO_(4)-based materials for environmental applications.
文摘Presently,video surveillance is commonly employed to ensure security in public places such as traffic signals,malls,railway stations,etc.A major chal-lenge in video surveillance is the identification of anomalies that exist in it such as crimes,thefts,and so on.Besides,the anomaly detection in pedestrian walkways has gained significant attention among the computer vision communities to enhance pedestrian safety.The recent advances of Deep Learning(DL)models have received considerable attention in different processes such as object detec-tion,image classification,etc.In this aspect,this article designs a new Panoptic Feature Pyramid Network based Anomaly Detection and Tracking(PFPN-ADT)model for pedestrian walkways.The proposed model majorly aims to the recognition and classification of different anomalies present in the pedestrian walkway like vehicles,skaters,etc.The proposed model involves panoptic seg-mentation model,called Panoptic Feature Pyramid Network(PFPN)is employed for the object recognition process.For object classification,Compact Bat Algo-rithm(CBA)with Stacked Auto Encoder(SAE)is applied for the classification of recognized objects.For ensuring the enhanced results better anomaly detection performance of the PFPN-ADT technique,a comparison study is made using Uni-versity of California San Diego(UCSD)Anomaly data and other benchmark data-sets(such as Cityscapes,ADE20K,COCO),and the outcomes are compared with the Mask Recurrent Convolutional Neural Network(RCNN)and Faster Convolu-tional Neural Network(CNN)models.The simulation outcome demonstrated the enhanced performance of the PFPN-ADT technique over the other methods.
