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Interpreting black-box models: a review on explainable artificial intelligence
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …
methodological development in a broad range of domains. In this rapidly evolving field …
[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
[HTML][HTML] M2M communication performance for a noisy channel based on latency-aware source-based LTE network measurements
Abstract The phrase" Machine-to-Machine"(M2M) communication has gained widespread
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …
Remote intelligent perception system for multi-object detection
Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …
scene images depicting diverse robotic environments. The surge in interest can be attributed …
Advanced IoT-based human activity recognition and localization using Deep Polynomial neural network
Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …
human activity recognition, facilitating a wide array of applications from health monitoring to …
Generative ai for cyber security: Analyzing the potential of chatgpt, dall-e and other models for enhancing the security space
This research paper intends to provide real-life applications of Generative AI (GAI) in the
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …
[HTML][HTML] Predictive analytics for Sustainable E-learning: Tracking student behaviors
The COVID-19 pandemic has sped up the acceptance of online education as a substitute for
conventional classroom instruction. E-Learning emerged as an instant solution to avoid …
conventional classroom instruction. E-Learning emerged as an instant solution to avoid …
[HTML][HTML] Uncovering diverse soliton solutions in the modified Schrödinger's equation via innovative approaches
The topic of soliton propagation in optical fibers is explored in our research paper, with a
focus on the utilization of the modified nonlinear Schrödinger's equation with perturbation …
focus on the utilization of the modified nonlinear Schrödinger's equation with perturbation …
A federated learning-based edge caching approach for mobile edge computing-enabled intelligent connected vehicles
Massive map data transmission and the strict demand for the privacy of high-precision maps
have brought significant challenges to the cache of high-precision maps in intelligent …
have brought significant challenges to the cache of high-precision maps in intelligent …
Mechanical, fracture-deformation, and tribology behavior of fillers-reinforced sisal fiber composites for lightweight automotive applications
The main focus of this study is on the effects of fly ash, basalt powder, and tungsten carbide
(WC) on the mechanical (tensile strength, flexural strength, impact strength, and Shore D …
(WC) on the mechanical (tensile strength, flexural strength, impact strength, and Shore D …