Computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other media.Deep learning(DL)methods are more successful than ot...Computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other media.Deep learning(DL)methods are more successful than other traditional machine learning(ML)methods inCV.DL techniques can produce state-of-the-art results for difficult CV problems like picture categorization,object detection,and face recognition.In this review,a structured discussion on the history,methods,and applications of DL methods to CV problems is presented.The sector-wise presentation of applications in this papermay be particularly useful for researchers in niche fields who have limited or introductory knowledge of DL methods and CV.This review will provide readers with context and examples of how these techniques can be applied to specific areas.A curated list of popular datasets and a brief description of them are also included for the benefit of readers.展开更多
Massive-Multiple Inputs and Multiple Outputs(M-MIMO)is considered as one of the standard techniques in improving the performance of Fifth Generation(5G)radio.5G signal detection with low propagation delay and high thr...Massive-Multiple Inputs and Multiple Outputs(M-MIMO)is considered as one of the standard techniques in improving the performance of Fifth Generation(5G)radio.5G signal detection with low propagation delay and high throughput with minimum computational intricacy are some of the serious concerns in the deployment of 5G.The evaluation of 5G promises a high quality of service(QoS),a high data rate,low latency,and spectral efficiency,ensuring several applications that will improve the services in every sector.The existing detection techniques cannot be utilised in 5G and beyond 5G due to the high complexity issues in their implementation.In the proposed article,the Approximation Message Passing(AMP)is implemented and compared with the existing Minimum Mean Square Error(MMSE)and Message Passing Detector(MPD)algorithms.The outcomes of the work show that the performance of Bit Error Rate(BER)is improved with minimal complexity.展开更多
Nowadays,OLEDs have shown aesthetic potential in smart cards,sensor displays,other electronic devices,sensitive medical devices and signal monitoring etc.due to their wide range of applications like low power consumpt...Nowadays,OLEDs have shown aesthetic potential in smart cards,sensor displays,other electronic devices,sensitive medical devices and signal monitoring etc.due to their wide range of applications like low power consumption,high contrast ratio,speed highly electroluminescent,wide viewing angle and fast response time.In this paper,a highly efficient organic LED ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al with low turn-on voltage and high optically efficiency is presented including electrical and optical characteristics.The simulation of electrical characteristics like current versus applied voltage,current density versus applied voltage,recombination prefactor versus excess carrier density characteristics and optical characteristics like light flux versus current density,light flux versus applied voltage and optical efficiency versus applied voltage has been explained.The physical design,working principle and thickness of different layers along with the process of formation of singlet and triplet excitons are discussed in detail.Here double electron transport layer(ETL),cathode layers are used to enhance the electrical and optical efficiency of OLED.The operating voltage is found to be~3.2 V for the ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al heterostructure based OLED.The designed organic LED has achieved the maximum optical efficiency at 3 V.展开更多
This review paper explores the efficacy of magnesium ferrite-based catalysts in photocatalytic degradation of organic contaminates(antibiotic and dyes).We report the influence of different doping strategies,synthesis ...This review paper explores the efficacy of magnesium ferrite-based catalysts in photocatalytic degradation of organic contaminates(antibiotic and dyes).We report the influence of different doping strategies,synthesis methods,and composite materials on the degradation efficiency of these pollutants.Our analysis reveals the versatile and promising nature of magnesium ferrite-based catalysts,offering the valuable insights into their practical application for restoring the environment.Due to the smaller band gap and magnetic nature of magnesium ferrite,it holds the benefit of utilising the broader spectrum of light while also being recoverable.The in-depth analysis of magnesium ferrites'photocatalytic mechanism could lead to the development of cheap and reliable photocatalyst for the wastewater treatment.This concise review offers a thorough summary of the key advancements in this field,highlighting the pivotal role of the magnesium ferrite based photocatalysts in addressing the pressing global issue of organic pollutants in wastewater.展开更多
基金supported by the Project SP2023/074 Application of Machine and Process Control Advanced Methods supported by the Ministry of Education,Youth and Sports,Czech Republic.
文摘Computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other media.Deep learning(DL)methods are more successful than other traditional machine learning(ML)methods inCV.DL techniques can produce state-of-the-art results for difficult CV problems like picture categorization,object detection,and face recognition.In this review,a structured discussion on the history,methods,and applications of DL methods to CV problems is presented.The sector-wise presentation of applications in this papermay be particularly useful for researchers in niche fields who have limited or introductory knowledge of DL methods and CV.This review will provide readers with context and examples of how these techniques can be applied to specific areas.A curated list of popular datasets and a brief description of them are also included for the benefit of readers.
基金supported by Taif University Researchers Supporting Project Number(TURSP-2020/98)Taif University,Taif,Saudi Arabia.
文摘Massive-Multiple Inputs and Multiple Outputs(M-MIMO)is considered as one of the standard techniques in improving the performance of Fifth Generation(5G)radio.5G signal detection with low propagation delay and high throughput with minimum computational intricacy are some of the serious concerns in the deployment of 5G.The evaluation of 5G promises a high quality of service(QoS),a high data rate,low latency,and spectral efficiency,ensuring several applications that will improve the services in every sector.The existing detection techniques cannot be utilised in 5G and beyond 5G due to the high complexity issues in their implementation.In the proposed article,the Approximation Message Passing(AMP)is implemented and compared with the existing Minimum Mean Square Error(MMSE)and Message Passing Detector(MPD)algorithms.The outcomes of the work show that the performance of Bit Error Rate(BER)is improved with minimal complexity.
文摘Nowadays,OLEDs have shown aesthetic potential in smart cards,sensor displays,other electronic devices,sensitive medical devices and signal monitoring etc.due to their wide range of applications like low power consumption,high contrast ratio,speed highly electroluminescent,wide viewing angle and fast response time.In this paper,a highly efficient organic LED ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al with low turn-on voltage and high optically efficiency is presented including electrical and optical characteristics.The simulation of electrical characteristics like current versus applied voltage,current density versus applied voltage,recombination prefactor versus excess carrier density characteristics and optical characteristics like light flux versus current density,light flux versus applied voltage and optical efficiency versus applied voltage has been explained.The physical design,working principle and thickness of different layers along with the process of formation of singlet and triplet excitons are discussed in detail.Here double electron transport layer(ETL),cathode layers are used to enhance the electrical and optical efficiency of OLED.The operating voltage is found to be~3.2 V for the ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al heterostructure based OLED.The designed organic LED has achieved the maximum optical efficiency at 3 V.
文摘This review paper explores the efficacy of magnesium ferrite-based catalysts in photocatalytic degradation of organic contaminates(antibiotic and dyes).We report the influence of different doping strategies,synthesis methods,and composite materials on the degradation efficiency of these pollutants.Our analysis reveals the versatile and promising nature of magnesium ferrite-based catalysts,offering the valuable insights into their practical application for restoring the environment.Due to the smaller band gap and magnetic nature of magnesium ferrite,it holds the benefit of utilising the broader spectrum of light while also being recoverable.The in-depth analysis of magnesium ferrites'photocatalytic mechanism could lead to the development of cheap and reliable photocatalyst for the wastewater treatment.This concise review offers a thorough summary of the key advancements in this field,highlighting the pivotal role of the magnesium ferrite based photocatalysts in addressing the pressing global issue of organic pollutants in wastewater.
