One of the key features of SSL VPN software is that they are inherently designed to transport payload data over either TCP or UDP tunnels. However, it is a common refrain to not use a TCP tunnel due to the overhead as...
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the proceedings contain 9 papers. the topics discussed include: simulation-based performance prediction of HPC applications: a case study of HPL;automation of NERSC Application usage report;exascale potholes for HPC: ...
ISBN:
(纸本)9781665422802
the proceedings contain 9 papers. the topics discussed include: simulation-based performance prediction of HPC applications: a case study of HPL;automation of NERSC Application usage report;exascale potholes for HPC: execution performance and variability analysis of the flagship application code HemeLB;HPC software tracking strategies for a diverse workload;integrating science gateways with secure cloud computing resources: an examination of two deployment patterns and their requirements;demystifying python package installation with Conda-Env-Mod;OpenACC profiling support for clang and LLVM using Clacc and TAU;and usability and performance improvements in hatchet;empirical modeling of spatially diverging performance.
World Population is increasing drastically and is expected to be around 12.3 billion in 2100. Withthe increase in population, it becomes important to foster the basic needs of mankind suitably. To withstand larger fo...
World Population is increasing drastically and is expected to be around 12.3 billion in 2100. Withthe increase in population, it becomes important to foster the basic needs of mankind suitably. To withstand larger food requirements, getting higher crop yields is important. However, challenges like crop diseases, environmental factors like soil type, soil moisture, nutrient contents in soil, climate change, etc., affect various crop yields severely. the modern technologies can help in minimizing the adverse effects of these factors on crop yields. the advent of advanced automation techniques in Artificial Intelligence (AI) & Machine Learning (ML) can help in automated detection of crop diseases more accurately. However, use of such automated techniques face several challenges. Current study attempts to present a systematic literature review (SLR) of the existing body of knowledge in crop disease recognition & classification using automated techniques. the review followed PRISMA guidelines & searched four major databases with a comprehensive search query. 60 relevant research studies were identified after filtering through systematic inclusion & exclusion criteria for further analysis. Each research article is examined for the crop species used, the dataset used, & the methodology used. In each of the studied research papers, we looked at the performance measures utilized to assess the overall acquired findings for crop disease diagnosis & classification. It is observed that such systems have great potential to improve food security & agricultural productivity. However, more research is needed to overcome the challenges & limitations of the current methods and to ensure their validity & reliability in different settings and platforms. the readers of this study could acquire challenges faced by researchers in automated crop disease identification systems & their potential solutions to improve the performance of advanced algorithms.
the proceedings contain 16 papers. the special focus in this conference is on Model-Driven Engineering and Software Development. the topics include: the Understandability of Models for Behaviour;a Model-Based Combinat...
ISBN:
(纸本)9783030378721
the proceedings contain 16 papers. the special focus in this conference is on Model-Driven Engineering and Software Development. the topics include: the Understandability of Models for Behaviour;a Model-Based Combination Language for Scheduling Verification;TRILATERAL: A Model-Based Approach for Industrial CPS – Monitoring and Control;classifying Approaches for Constructing Single Underlying Models;a Framework for Flexible Program Evolution and Verification of Distributed systems;Modeling and Analysis of Partitions on Functional Architectures Using EAST-ADL;Evaluating the Multi-variant Model Transformation of UML Class Diagrams to Java Models;executing Scenario-Based Specification with Dynamic Generation of Rich Events;towards Multi-editor Support for Domain-Specific Languages Utilizing the Language Server Protocol;Integrating UML and ALF: An Approach to Overcome the Code Generation Dilemma in Model-Driven Software Engineering;preface;a Framework for Multi-level Modeling of Analog/Mixed Signal Embedded systems;the Art of Bootstrapping;dataset Management Using Metadata.
the proceedings contain 24 papers. the special focus in this conference is on Big Data Analytics. the topics include: Routing Protocol Security for Low-Power and Lossy Networks in the Internet of things;MQTT Protocol ...
ISBN:
(纸本)9783030936198
the proceedings contain 24 papers. the special focus in this conference is on Big Data Analytics. the topics include: Routing Protocol Security for Low-Power and Lossy Networks in the Internet of things;MQTT Protocol Use Cases in the Internet of things;large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation;current Trends in Learning from Data Streams;diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data;SCIMAT: Dataset of Problems in Science and Mathematics;rank-Based Prefetching and Multi-level Caching algorithms to Improve the Efficiency of Read Operations in Distributed File systems;impact-Driven Discretization of Numerical Factors: Case of Two- and three-Partitioning;towards Machine Learning to Machine Wisdom: A Potential Quest;smartphone Mammography for Breast Cancer Screening;big Data over Cloud: Enabling Drug Design Under Cellular Environment;predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning;DXML: Distributed Extreme Multilabel Classification;an Efficient Distributed Coverage Pattern Mining Algorithm;outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects;bridging the Inferential Gaps in Healthcare;2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis;tooth Detection from Panoramic Radiographs Using Deep Learning;Hate Speech Detection Using Static BERT Embeddings;fog Enabled Distributed Training Architecture for Federated Learning;Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions;challenges of Machine Learning for Data Streams in the Banking Industry.
Selecting cryptographic algorithms for Internet of things (IoT) devices is a critical process as it directly impacts the security, performance, and viability of these devices. When selecting cryptographic algorithms f...
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the proceedings contain 15 papers. the special focus in this conference is on Latin American High Performance computing. the topics include: Electricity Demand Forecasting Using Computational Intelligence and High Per...
ISBN:
(纸本)9783030680343
the proceedings contain 15 papers. the special focus in this conference is on Latin American High Performance computing. the topics include: Electricity Demand Forecasting Using Computational Intelligence and High Performance computing;Parallel/Distributed Generative Adversarial Neural Networks for Data Augmentation of COVID-19 Training Images;analysis of Regularization in Deep Learning Models on Testbed Architectures;computer Application for the Detection of Skin Diseases in Photographic Images Using Convolutional Neural Networks;Neocortex and Bridges-2: A High Performance AI+HPC Ecosystem for Science, Discovery, and Societal Good;Fostering Remote Visualization: Experiences in Two Different HPC Sites;high Performance computing Simulations of Granular Media in Silos;performance Analysis of Main Public Cloud Big Data Services Processing Brazilian Government Data;accelerating Machine Learning algorithms with TensorFlow Using thread Mapping Policies;Methodology for Design and Implementation an Efficient HPC Cluster;estimating the Execution Time of the Coupled Stage in Multiscale Numerical Simulations;Using HPC as a Competitive Advantage in an international Robotics Challenge;a Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption.
Virtual assistant is nothing but an independent contractor, who offers administrative services to the clients of a particular organisation while operating outside of the office of the client. Generally, a virtual assi...
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Analysis of 1969 nationalization banks including 14 major business banks in the Indian E- banking system was operated internally. Public policy goals were driving force, with banks mainly engaged in modernizing the cu...
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