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Towards continuous consistency axiom
It is shown for the first time in this paper, that Kleinberg’s (
2002 ) (self-contradictory) axiomatic system for distance-based clustering fails (that...
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Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means
Kleinberg introduced an axiomatic system for clustering functions. Out of three axioms, he proposed, two (scale invariance and consistency) are...
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A Gravitational Search Algorithm Study on Text Summarization Using NLP
Over the last decade, the amount of data available on the internet has grown exponentially. As a result, there is a need for a resolution that...
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Gravitational search algorithm: a comprehensive analysis of recent variants
Gravitational search algorithm is a nature-inspired algorithm based on the mathematical modelling of the Newton’s law of gravity and motion. In a...
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Binary quantum-inspired gravitational search algorithm-based multi-criteria scheduling for multi-processor computing systems
A quantum-inspired hybrid scheduling technique is proposed for multi-processor computing systems. The proposed algorithm is a hybridization of...
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Chernobyl disaster optimizer (CDO): a novel meta-heuristic method for global optimization
This paper proposes a novel meta-heuristic optimization method, namely “Chernobyl Disaster Optimizer (CDO)”. The underlying concepts and principles...
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Temporal Alignment of Human Motion Data: A Geometric Point of View
Temporal alignment is an inherent task in most applications dealing with videos: action recognition, motion transfer, virtual trainers,...
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Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system
One of the essential data pre-processing methods for enhancing the performance of machine learning (ML) models is feature selection. Because they...
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ENG-Face: cross-domain heterogeneous face synthesis with enhanced asymmetric CycleGAN
Heterogeneous face synthesis has attracted more and more attentions recently. The lack of paired heterogeneous face images triggers high variability...
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Multi-robots Formation and Obstacle Avoidance Algorithm Based on Leader-Follower and Artificial Potential Field Method
Multi-robots collaborative has important application prospects in fields such as military, medical, transportation, security patrols, rescue and...
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An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
When contemplating the improvement of overall performance in machine learning (ML) models, a critical strategy for optimizing data preparation is...
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Decision Poisson: From Universal Gravitation to Offline Reinforcement Learning
Viewing offline reinforcement learning (RL) through the lens of conditional generative modeling has gradually become more accepted by researchers as...
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Limited environmental information path planning based on 3D point cloud reconstruction
We present a new limited environmental information path planning procedure (IEIPPP) that finds collision-free paths without prior knowledge of...
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Envelope multi-type transformation ensemble algorithm of Parkinson speech samples
In recent years, the study of machine learning-based speech recognition methods for Parkinson’s disease has become a hot topic in recent years....
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A new clustering method for the diagnosis of CoVID19 using medical images
With the spread of COVID-19, there is an urgent need for a fast and reliable diagnostic aid. For the same, literature has witnessed that medical...
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Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method
Large language models(LLMs) demonstrate significant capabilities in traditional natural language processing(NLP) tasks and many examinations....
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Focus of Attention
As we assume that there is an underlying process of eye movements, we recognize the importance of continuously interacting with motion fields, even...
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Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image
Land use and land cover segmentation and classification from hyperspectral image is significant in many land use inventories. Though several...
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Variational auto encoder fused with Gaussian process for unsupervised anomaly detection
The unsupervised anomaly detection in high-dimensional and complex settings poses a formidable challenge. To tackle the challenges associated with...
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The Normal Gravity Field and Reference Earth Ellipsoid
This chapter formulates the normal gravity field of the Earth. It is the gravity field of a rotating oblate ellipsoid of revolution as an...