Comparison of earthquake location parameters determined using grid search and manta ray foraging optimization DOI Creative Commons
Aykut Tunçel

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 6, 2023

Abstract Earthquake location estimation using grid search (GS) method are compared with manta ray foraging optimization (MRFO) solutions for synthetic and real earthquake data from Van city, Türkiye. Both locating methods worked very well achieved similar results. While the coordinates (latitude longitude) of were obtained successfully both methods, inversion arrival times calculated noisy noise-free data, result was some deviation in depth parameter data. The parameters GS MRFO accordance made by other seismology centres. It not observed that full match centres, but centres given comparison also consistent among themselves. according performed this study is self-consistent around 24 km. As a result, has disadvantageous method, reasons such as reaching solution tardy needs applying gradual steps to accelerate it. easy, fast, advantageous when kinematic hypocentre.

Language: Английский

Modified chameleon swarm algorithm for brightness and contrast enhancement of satellite images DOI
Malik Braik

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(9), P. 26819 - 26870

Published: Sept. 5, 2023

Language: Английский

Citations

14
Deep learning based denoising and enhancement of satellite images using DA-CNN and ORHE techniques DOI
V. Rajesh, P. Sivakumar

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
FPGA implementation of hybrid Namib beetle and battle royale optimization algorithm fostered linear phase finite impulse response filter design DOI

P. Selvaprasanth,

R. Karthick,

P. Meenalochini

et al.

Analog Integrated Circuits and Signal Processing, Journal Year: 2025, Volume and Issue: 123(2)

Published: March 24, 2025

Language: Английский

Citations

0
Drone RGB Imagery Color and Texture Information Have Varied Importance in Predicting Potato Aboveground Biomass in Different Growth Stages DOI
Hang Yin, Haibo Yang, Yuncai Hu

et al.

Potato Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

Citations

0
Comparison of earthquake location parameters determined using grid search and manta ray foraging optimization DOI
Aykut Tunçel

Acta Geophysica, Journal Year: 2024, Volume and Issue: 72(4), P. 2581 - 2596

Published: May 7, 2024

Language: Английский

Citations

2
Video Object Forgery Detection using Image Processing Techniques DOI
Pooja Kumari,

Midde Venkata Siva,

N. Muthukumaran

et al.

Published: Oct. 11, 2023

Video surveillance has been crucial for security in recent years, thus it's critical to guarantee the accuracy of these recordings. Unfortunately, it is easy fake films by erasing an object from a scene and leaving no visual evidence. In this study, approach video intra-frame forgery forensics based on SSIM (Structural Similarity Index Measure) proposed. This system can recognize forged frames automatically. order extract steganography features, method first decompresses input into sequence frames. It next calculates each frame's motion residual map. The ability tell whether or not deleted key problem security.

Language: Английский

Citations

6
Harnessing AI and DS for Fake News Detection and Prevention DOI

A. Madhan,

G.G. Sreeja,

K Gokul

et al.

Published: April 26, 2024

The rampant spread of misinformation on online platforms has prompted extensive research into effective fake news detection methods. This paper conducts a comprehensive review various techniques utilized in this domain, with specific emphasis natural language processing (NLP), machine learning, and deep learning models. Central to these methods is the meticulous analysis source credibility contextual information. By scrutinizing origins stories considering surrounding context, strive differentiate between deceptive narratives genuine content. NLP play pivotal role, enabling extraction subtle linguistic patterns that aid identification misleading Moreover, underscores critical importance factual verification ensuring accurate detection. Factual involves cross-referencing information reliable sources, confirming authenticity claims made stories. integrating insights from analysis, understanding, capabilities advanced models, provide robust frameworks for tackling challenges posed by news.

Language: Английский

Citations

1
Object-based image analysis for extracting regional slope units and its application DOI
Ying Zeng, Yingbin Zhang, Jing Liu

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 17(5), P. 4575 - 4595

Published: July 15, 2024

Language: Английский

Citations

0
A Hybrid Feature Selection Framework Using Opposition-Based Harmony Search and Manta Ray Foraging Optimization DOI Open Access

Thatikonda Somashekar,

Srinivas Jagirdar

Journal of Advances in Information Technology, Journal Year: 2024, Volume and Issue: 8, P. 982 - 990

Published: Jan. 1, 2024

Language: Английский

Citations

0
Enhancement of satellite images based on CLAHE and augmented elk herd optimizer DOI Creative Commons
Malik Braik, Mohammed Azmi Al-Betar, Mohammed A. Mahdi

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 58(2)

Published: Dec. 20, 2024

Satellite images often have very narrow brightness value ranges, so it is necessary to enhance the contrast and brightness, maintain quality of visual information, preserve pertinent details in before conducting additional analysis. This because improving crucial image processing analysis as makes easier for people identify comprehend images. The Incomplete Beta Function (IBF) a popular transformation function Image Contrast Enhancement (ICE). Nevertheless, IBF has modest efficiency parameter selection, small set adjustable parameters stretching regions with high or low gray levels, enhancement almost ineffective at either end. Meta-heuristic algorithms been utilized efficiently effectively over past few decades solve complicated problems. paper presents an Augmented version Elk Herd Optimizer (AEHO) combined other traditional ICE techniques improve edge details, entropy, local contrast, low-contrast natural satellite AEHO method employs multi-stage strategic procedure, where its mathematical model undergoes several enhancements being applied allow further exploration exploitation features. uses pre-established fitness criterion purpose optimizing rework well-known effective assessment technique objective standard this purpose. In proposed model, limited adaptive histogram equalization was first prior step ameliorate color intensity. Then, optimal IBF's were adaptively determined using AEHO. After that, bilateral gamma correction used without sacrificing quality. AEHO-based tested on scenes, certain images, publicly available addition five built based pre-existing meta-heuristics, performance compared against state-of-the-art algorithms. evaluation achieved utilizing variety full-reference, no-reference, norms. experimental findings illustrated that can successfully outperform employed same conventional methods included comparison. results ten showed presented performs better than all comparative corresponding criteria terms average peak signal-to-noise ratio, universal index, structural contrast-quality values discrete entropy results, which are more 32.30, 94.0%, 0.98.9%, 7.4, respectively. nutshell, be efficient tackle

Language: Английский

Citations

0