the proceedings contain 130 papers. the topics discussed include: path planning using the bee colony algorithm to find routes for a coffee plantation using drones;machine learning approach for single nucleotide polymo...
the proceedings contain 130 papers. the topics discussed include: path planning using the bee colony algorithm to find routes for a coffee plantation using drones;machine learning approach for single nucleotide polymorphism selection in genetic testing results;a modified beluga whale optimization for optimizing energy-efficient no-idle permutation flow shop scheduling problem;determining the objective weight of green manufacturing indicators: a case study of the Indonesian manufacturing company;guidance in designing a smart campus: a systematic literature review;study of cross-site request forgery on web-based application: exploitations and preventions;the utilization of mobile communication on marketing: a systematic review;and technique of mental health issues classification based on machine learning: systematic literature review.
the proceedings contain 189 papers. the topics discussed include: combining evidence in multivariate data spaces;object-oriented interactive access to JET database;applications of neural networks for free unfolding of...
ISBN:
(纸本)981279946X
the proceedings contain 189 papers. the topics discussed include: combining evidence in multivariate data spaces;object-oriented interactive access to JET database;applications of neural networks for free unfolding of experimental data from fusion neutron spectrometers;integrated data analysis for nuclear fusion;advanced method for analysis of plasma diagnostics data;sales forecasting for a Turkish paint producer: artificial intelligence based methods versus multiple linear regression;a maximum entropy approach for collaborative warming in oceanic data processing;development of learning systems with data tours techniques for fusion databases;and similarity based on mutual support in mass assignment linked intuitionistic fuzzy sets.
the proceedings contain 64 papers. the topics discussed include: noise-based logic versus quantum supremacy;modeling cerebro-vascular autoregulation after postural change perturbations;a review on emotion based harmfu...
ISBN:
(纸本)9798350398823
the proceedings contain 64 papers. the topics discussed include: noise-based logic versus quantum supremacy;modeling cerebro-vascular autoregulation after postural change perturbations;a review on emotion based harmful speech detection using machine learning;comparison of automatic question generation techniques;transparent slide detection and gripper design for slide transport by robotic arm;proposing a new model for estimation of oil rate passing through wellhead chokes in an Iranian heavy oil field;real-time multi-user 3D visualization software in medicine;evaluation of the use of an intelligent system in the calibration of a refined car-following model;inertial sensor-based movement classification with dimension reduction based on feature aggregation;and on the simulation of lower order control strategies for higher order systems.
the proceedings contain 32 papers. the topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology;heatmap matrix: using reordering, discretization and fil...
ISBN:
(纸本)9789898704429
the proceedings contain 32 papers. the topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology;heatmap matrix: using reordering, discretization and filtering resources to assist multidimensional data analysis;BIM teaching and programing in dynamo applied in the maintenance of buildings;3D pose estimation by grouped feature fusion and motion amplitude encoding;identifying wear particles withtheir shape attribute;using reorderable heatmaps as a support for data assimilation in petroleum reservoir management and development processes;detection of fashion landmarks based on pose estimation and human parsing;design elements extraction based on unsupervised segmentation and compact vectorization;domain adaptation in image dehazing: exploring the usage of images from virtual scenarios;and interpolation and context magnification framework for classification of scene images.
Withthe emergence of GPT developed by the OPENAI team, artificial intelligence is in a thriving stage of development. this article aims to design and implement an intelligent data analysis platform based on artificia...
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Digital transformation is the process of transforming the traditional practice-based fishery management system into that based on science and calculation. Among them, the use of data and algorithms to analyze and pred...
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the rapid advancement of digital technologies has significantly influenced the landscape of language learning, introducing innovative tools and methodologies to enhance educational experiences. Among these development...
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ISBN:
(纸本)9783031791635;9783031791642
the rapid advancement of digital technologies has significantly influenced the landscape of language learning, introducing innovative tools and methodologies to enhance educational experiences. Among these developments, the integration of artificial intelligence and chatbot technology in language education offers a unique approach to teaching less commonly taught languages. this paper introduces "DarijaGenie," an early version of a task-based, multimodal chatbot system designed to facilitate the learning of Moroccan Arabic. Characterized by its spoken nature, non-standard structure, and the scarcity of its resources, Darija presents distinct challenges for learners. DarijaGenie aims to address these challenges by leveraging natural language processing and artificial intelligence to simulate real-life scenarios, providing users with an interactive platform for practical language learning.
Due to significant intra-class variations and subtle inter-class differences, fine-grained images often pose challenges. In this paper, we propose a multi-level attention-enhanced network framework to address this iss...
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this study investigates the application of Hierarchical clustering for image segmentation, with a focus on its efficacy in analyzing medical images, particularly MRI scans of brain tumors. Image segmentation plays a p...
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