the bacterial foraging algorithm is a new bionic algorithm with good performance in big data scheduling [4]. However, the traditional bacterial foraging algorithm has room for further improvement in the expressiveness...
详细信息
this manuscript presents, an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed. Moreover, the time-varying character of...
详细信息
Withthe rapid development of production and consumption, water pollution incidents are increasing day by day. Point source pollution is the main way for pollutants to enter rivers, and identifying pollution sources i...
详细信息
Locating objects in images or videos is the major task accomplished by object detection. It has widely been used in various applications related to computer vision for the identification and localization of objects. O...
详细信息
the proceedings contain 86 papers. the special focus in this conference is on Innovations in Bio-Inspired computing and Applications. the topics include: A Novel Approach to the Two-Dimensional Cargo Load Problem;vehi...
ISBN:
(纸本)9783031274985
the proceedings contain 86 papers. the special focus in this conference is on Innovations in Bio-Inspired computing and Applications. the topics include: A Novel Approach to the Two-Dimensional Cargo Load Problem;vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning;bio-inspired Heterogeneity in Swarm Robots;software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classification Techniques;a Systematic Literature Review on Home Health Care Management;the Impact of the Size of the Partition in the Performance of Bat Algorithm;automatic Diagnosis Framework for Catheters and Tubes Semantic Segmentation and Placement Errors Detection;how Artificial Intelligence Can Revolutionize Software Testing Techniques;e-Assessment in Medical Education: From Paper to Platform;Evolution of Configuration Data in CGP Format Using Parallel GA on Embryonic Fabric;DeepPRS: A Deep Learning Integrated patternrecognition Methodology for Secure Data in Cloud Environment;Automated Depression Diagnosis in MDD (Major Depressive Disorder) Patients Using EEG Signal;an Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach;extracting and Analyzing Terms withthe Component ‘Green’ in the Bulgarian Language: A Big Data Approach;Apartments Waste Disposal Location Evaluation Using TOPSIS and Fuzzy TOPSIS Methods;detection of Cracks in Building Facades Using Infrared thermography;optimizing Pre-processing for Foetal Cardiac Ultra Sound Image Classification;a Review on Dimensionality Reduction for Machine Learning;detecting Depression on Social Platforms Using Machine Learning;impact of Green Hydrogen Production on Energy Pricing;Cross Synergetic Mobilenet-VGG16 for UML Multiclass Diagrams Classification;the Future in Fishfarms: An Ocean of Technologies to Explore;breast Cancer Identification Using Improved DarkNet53 Model;anomaly Detection Framework.
Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models....
详细信息
ISBN:
(纸本)1424400287
Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM contrast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computingthe spherical correlation between the GGFMs of the matched models, similarity of two models can be obtained. Experimental results show that the proposed method performs well in 3D model similarity matching and is invariant to the translation and rotation and scaling of 3D model. Comparing to the existing methods, this method is fast and needs low computation and storage cost since each facet of the model needs to be computed only once in GGFM.
the fusion of Fog computing and the Internet of things (IoT) within the realm of Wireless Body Area Networks (WBANs) presents a transformative paradigm that redefines healthcare monitoring and treatment. this converge...
详细信息
In Homotopy Type theory, cohomology theories are studied synthetically using higher inductive types and univalence. this paper extends previous developments by providing the first fully mechanized definition of cohomo...
详细信息
ISBN:
(纸本)9798400700262
In Homotopy Type theory, cohomology theories are studied synthetically using higher inductive types and univalence. this paper extends previous developments by providing the first fully mechanized definition of cohomology rings. these rings may be defined as direct sums of cohomology groups together with a multiplication induced by the cup product, and can in many cases be characterized as quotients of multivariate polynomial rings. To this end, we introduce appropriate definitions of direct sums and graded rings, which we then use to define both cohomology rings and multivariate polynomial rings. Using this, we compute the cohomology rings of some classical spaces, such as the spheres and the Klein bottle. the formalization is constructive so that it can be used to do concrete computations, and it relies on the Cubical Agda system which natively supports higher inductive types and computational univalence.
this paper represents a method of designing adaptive sliding mode control law for a class of flexible joint manipulators. the method aims at developing and deploying a controller for the system in case of existing dis...
详细信息
Large language models(LLMS) have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critica...
详细信息
暂无评论