the proceedings contain 24 papers. the topics discussed include: automated algorithm for multi-variate data synthesis with Cholesky decomposition;large matrix multiplication algorithms: analysis and comparison;benchma...
ISBN:
(纸本)9798400709098
the proceedings contain 24 papers. the topics discussed include: automated algorithm for multi-variate data synthesis with Cholesky decomposition;large matrix multiplication algorithms: analysis and comparison;benchmarking classifiers for loan default prediction using archetypal analysis;enhancing banking security through intelligent models for advanced fraud prevention;innovative predictive modeling of property appraisal: emphasizing coastline proximity as a key factor;improved grey wolf optimization algorithm based on local derivative inertia weights;ensemble deep transfer learning approaches for sales forecasting;an improved teaching-learning-based optimization with adaptive moment estimation for global optimization;preprocessing-based adversarial defense for object detection via feature filtration;and person attributes recognition based on hierarchical classification.
the proceedings contain 305 papers. the topics discussed include: a novel approach to predict the severity of peripheral neuropathy using machine learning;harnessing deep neural networks for accurate offline signature...
ISBN:
(纸本)9798350397253
the proceedings contain 305 papers. the topics discussed include: a novel approach to predict the severity of peripheral neuropathy using machine learning;harnessing deep neural networks for accurate offline signature forgery detection;advanced skin category prediction system for cosmetic suggestion using deep convolution neural network;a lightweight neuromorphic CNN for human activity recognition on edge device;mood detection and emoji classification using tokenization and convolutional neural network;exploring explainability and transparency in deep neural networks: a comparative approach;comparative analysis of artificial intelligence techniques for sentiment analysis and its challenges;cloud and IoT based framework for air and noise pollution monitoring system via extreme learning machine;weighted mask recurrent-convolutional neural network based plant disease detection using leaf images;vehicle counting based on convolution neural network;cost optimization on cloud by adoption of rust programming;and implementation of cloud computing in higher education: a bibliographic analysis.
the proceedings contain 11 papers. the topics discussed include: effective dynamic load balance using space-filling curves for large-scale SPH simulations on GPU-rich supercomputers;towards fast scalable solvers for c...
ISBN:
(纸本)9781509052226
the proceedings contain 11 papers. the topics discussed include: effective dynamic load balance using space-filling curves for large-scale SPH simulations on GPU-rich supercomputers;towards fast scalable solvers for charge equilibration in molecular dynamics applications;left-preconditioned communication-avoiding conjugate gradient methods for multiphase CFD simulations on the K computer;the gyrokinetic particle simulation of fusion plasmas on tianhe-2 supercomputer;extremely scalable algorithm for 108-atom quantum material simulation on the full system of the K computer;performance scaling variability and energy analysis for a resilient ULFM-based PDE solver;batched generation of incomplete sparse approximate inverses on GPUs;a massively parallel distributed n-body application implemented with HPX;randomized sketching for large-scale sparse ridge regression problems;optimizing plasma eigensolver on large shared memory system;and on Monte Carlo hybrid methods for linear algebra.
the proceedings contain 10 papers. the topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive cus...
the proceedings contain 10 papers. the topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive customized convolutional neural network;machine learning-based rainfall prediction for various regions;methodology for the registration of images and their inclusion in medica image management systems, based on the DICOM protocol;mobile application success prediction using machine learning;a secure mobile application for speech to text conversion using artificial intelligence techniques;a comparative study of heart disease prediction using machine learning;method for teaching medical imaging diagnosis, applying virtual reality techniques;heart disease prediction using machine learning method – a review article;and web system for the management of clinical laboratory test, applied to health facilities in rural areas.
the proceedings contain 11 papers. the topics discussed include: performance characterization of using quantization for DNN inference on edge devices;lifecycle management of federated learning artifacts in industrial ...
ISBN:
(纸本)9798350322880
the proceedings contain 11 papers. the topics discussed include: performance characterization of using quantization for DNN inference on edge devices;lifecycle management of federated learning artifacts in industrial applications;object detection acceleration method by improving execution efficiency of edge AI device;an edge deployment framework to scale AI in industrial applications;data sovereignty at the edge of the network;scalable transparent access to 5G edge services;distributed routing algorithms for concurrent execution of transactions in PCNs;mobile edge slice broker: mobile edge slices deployment in multi-cloud environments;fog computing for deep learning with pipelines;fault tolerant edge computing: challenges and opportunities;and PLTO: path loss-aware task offloading for vehicular cooperative perception.
the proceedings contain 343 papers. the topics discussed include: three-level compact caching for search engines based on solid state drives;a fine-grained volley gesture recognition method with direction independence...
ISBN:
(纸本)9781665494571
the proceedings contain 343 papers. the topics discussed include: three-level compact caching for search engines based on solid state drives;a fine-grained volley gesture recognition method with direction independence;universal adversarial attack against 3d object tracking;efficient hardware redo logging for secure persistent memory;a cost-efficient metadata scheme for high-performance deduplication systems;high speed true random number generator controlled by logistic map;characterization and implication of edge WebAssembly runtimes;frend for edge servers: reduce server number! keeping service quality!;on-the-fly servers placement for online multiplayer games in the fog;advanced architecture design of high-radix router based on chiplet integration and IP reusability;embrace the conflicts: exploring the integration of single port memory in systolic array-based accelerators;visual sensitivity aware rate adaptation for video streaming via deep reinforcement learning;semi-supervised federated learning with non-IID data: algorithm and system design;on-demand intelligent routing algorithms for the deterministic networks;and distributed service placement in ultra-dense edge computing: a game-theoretical approach.
the growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently ...
ISBN:
(数字)9783319005782
ISBN:
(纸本)9783319005775;9783319005782
the growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. the analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB13 hopes to contribute to this effort promoting this fruitful interaction. PACBB'13 technical program included 19 papers from a submission pool of 32 papers spanning many different sub-fields in Bioinformatics and Computational Biology. therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). the scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the pa
the proceedings contain 280 papers. the topics discussed include: a review on adoption of green cloud computing;modified firefly algorithm for optimal test case selection;prognosis of breast cancer cells using image p...
ISBN:
(纸本)9781665464086
the proceedings contain 280 papers. the topics discussed include: a review on adoption of green cloud computing;modified firefly algorithm for optimal test case selection;prognosis of breast cancer cells using image processing;predicting the driver variants and mutations in lung cancer genome using transcriptional regulation network;a extensive survey on sign language recognition methods;enhanced image-based histopathology lung cancer detection;non-invasive detection of coronary artery disease symptoms using Cardiocare application;a review on various image-recognition types and their efficiency;performance analysis of machine learning algorithm for the credit risk analysis in the banking sector;a comparative study on job recommendation using classification algorithms;a real time system to analyze patient's health condition using second layer computing;and identification of voting patterns using clustering methodology.
the proceedings contain 326 papers. the topics discussed include: kidney localization and stone segmentation from a CT scan image;a research survey on traffic management, accident detection and emergency notification ...
ISBN:
(纸本)9798350304268
the proceedings contain 326 papers. the topics discussed include: kidney localization and stone segmentation from a CT scan image;a research survey on traffic management, accident detection and emergency notification systems to improve society health;YOLO on GPU implementation for a vision-based fruit select and place system with a 5-DOF robotic arm;machine learning approach in melanoma cancer stage detection;unleashing the potential of convolutional neural networks for automated depression detection using audio modality;artificial intelligence, machine learning, and natural language processing capabilities in modern business intelligence;performance evaluation of various risk importance measures for large scale grid-connected solar photovoltaic systems;and automated generation of OpenSCENARIO scenarios for evaluating advanced driver assistance systems.
the proceedings contain 22 papers. the topics discussed include: machine learning for socially responsible portfolio optimization;leveraging deep learning approaches for deepfake detection: a review;predicting open pa...
ISBN:
(纸本)9781450399920
the proceedings contain 22 papers. the topics discussed include: machine learning for socially responsible portfolio optimization;leveraging deep learning approaches for deepfake detection: a review;predicting open parking space using deep learning and support vector regression;habitat prediction and knowledge extraction for marine bivalves using machine learning techniques;optimized computational diabetes prediction with feature selection algorithms;chaos gray wolf global optimization algorithm based on opposition-based learning;a learnheuristic approach to a constrained multi-objective portfolio optimization problem;analyzing the computing time to solve single row facility layout problems by simulated annealing in a Python framework;feature selection using gravitational search algorithm in customer churn prediction;and set-based particle swarm optimization for data clustering: comparison and analysis of control parameters.
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