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Co-evolution of international scientific mobility and international collaboration: a Scopus-based analysis
Science and technology human resources are fundamental components for enhancing the efficiency of the national innovation system. This study aims to...
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Grey wolf optimization-based fractional MPPT for enhancing performance and efficiency of photovoltaic systems
The photovoltaic (PV) cell is used to transform solar energy into electrical energy which is utilized by us. However, the amount of received solar...
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Assessing radiographic findings on finger X-rays using an enhanced deep learning approach
The human upper extremity, which includes the shoulder, humerus, elbow, forearm, wrist, hand, and fingers, demonstrates incredible biological...
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THC-DFECC-based privacy preserved smart contract creation for cloud data security
Currently, cloud services have become a novel business model for information services owing to the rapid development of Cloud Computing (CC)...
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AI enabled: a novel IoT-based fake currency detection using millimeter wave (mmWave) sensor
In recent years, the significance of millimeter wave sensors has achieved a paramount role, especially in the non-invasive and ubiquitous analysis of...
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Multilateral co-authorship: an important but easily overlooked pattern in international scientific collaboration research
A recent study published in Scientometrics used publications in Scopus and Web of Science Core Collection to exam the decades-long scientific...
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DSPformer: discovering semantic parts with token growth and clustering for zero-shot learning
Transformers have achieved success in many computer vision tasks, but their potential in Zero-Shot Learning (ZSL) has yet to be fully explored. In...
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A validation test of the Uzzi et al. novelty measure of innovation and applications to collaboration patterns between institutions
Exploring a robust and universal appeal bibliometric indicator for assessing creativity is essential but challenging. The novelty measure of...
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Archival meta-metadata: revision history and positionality of finding aids
This article starts from two observations about archival description. First, creating finding aids requires significant judgment and interpretation,...
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Injecting the score of the first-stage retriever as text improves BERT-based re-rankers
In this paper we propose a novel approach for combining first-stage lexical retrieval models and Transformer-based re-rankers: we inject the...
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Improving graph collaborative filtering with view explorer for social recommendation
Social recommender systems (SRS) have garnered adequate attention due to the supplementary information provided by social network, which aids in...
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Ebola optimization based spiking neural network for automatic hate speech recognition
In this paper, efficient machine learning technique is introduced to develop efficient machine learning model for hate speech recognition from the...
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Deep reinforcement learning-based scheduling in distributed systems: a critical review
Many fields of research use parallelized and distributed computing environments, including astronomy, earth science, and bioinformatics. Due to an...
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An aviation accidents prediction method based on MTCNN and Bayesian optimization
The safety of the civil aviation system has been of increasing concern with several accidents in recent years. It is urgent to put forward a precise...
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A Survey and Experimental Review on Data Distribution Strategies for Parallel Spatial Clustering Algorithms
The advent of Big Data has led to the rapid growth in the usage of parallel clustering algorithms that work over distributed computing frameworks...
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Optimization-based convolutional neural model for the classification of white blood cells
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the...
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SG-NeRF: Sparse-Input Generalized Neural Radiance Fields for Novel View Synthesis
Traditional neural radiance fields for rendering novel views require intensive input images and pre-scene optimization, which limits their practical...
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Latent side-information dynamic augmentation for incremental recommendation
The incremental recommendation involves updating existing models by extracting information from interaction data at current time-step, with the aim...
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Generative adversarial networks with stochastic gradient descent with momentum algorithm for video-based facial expression
Video data is an asset that may be used in various settings, such as a live broadcast on a personal blog or a security camera at a manufacturing...
