Integration of feature enhancement technique in Google inception network for breast cancer detection and classification DOI Creative Commons
Wasyihun Sema Admass, Yirga Yayeh Munaye, Ayodeji Olalekan Salau

et al.

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: May 28, 2024

Abstract Breast cancer is a major public health concern, and early detection classification are essential for improving patient outcomes. However, breast tumors can be difficult to distinguish from benign tumors, leading high false positive rates in screening. The reason that both malignant have no consistent shape, found at the same position, variable sizes, correlations. ambiguity of correlation challenges computer-aided system, inconsistency morphology an expert identifying classifying what negative. Due this, most time, screen prone rates. This research paper presents introduction feature enhancement method into Google inception network classification. proposed model preserves local global information, which important addressing variability tumor their complex A locally preserving projection transformation function introduced retain information might lost intermediate output model. Additionally, transfer learning used improve performance on limited datasets. evaluated dataset ultrasound images achieves accuracy 99.81%, recall 96.48%, sensitivity 93.0%. These results demonstrate effectiveness

Language: Английский

Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion DOI
Mohamed Abdel‐Basset, Reda Mohamed,

Shaimaa A. Abdel Azeem

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 268, P. 110454 - 110454

Published: March 11, 2023

Language: Английский

Citations

297

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism DOI
Xiangbing Zhou,

Hongjiang Ma,

Jianggang Gu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2022, Volume and Issue: 114, P. 105139 - 105139

Published: July 6, 2022

Language: Английский

Citations

177

An Improved Harris Hawks Optimization Algorithm with Multi-strategy for Community Detection in Social Network DOI
Farhad Soleimanian Gharehchopogh

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 20(3), P. 1175 - 1197

Published: Dec. 19, 2022

Language: Английский

Citations

106

American zebra optimization algorithm for global optimization problems DOI Creative Commons

Sarada Mohapatra,

Prabhujit Mohapatra

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 30, 2023

Abstract A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization algorithm (AZOA), which mimics social behaviour of zebras in wild, is proposed this study. are distinguished from other mammals by their distinct and fascinating character leadership exercise, navies baby to leave herd before maturity join a separate with no family ties. This departure encourages diversification preventing intra-family mating. Moreover, convergence assured exercise zebras, directs speed direction group. lifestyle indigenous nature main inspiration for proposing AZOA algorithm. To examine efficiency CEC-2005, CEC-2017, CEC-2019 benchmark functions considered, compared several state-of-the-art algorithms. The experimental outcomes statistical analysis reveal that capable attaining optimal solutions maximum while maintaining good balance between exploration exploitation. Furthermore, numerous real-world engineering problems have been employed demonstrate robustness AZOA. Finally, it anticipated will accomplish domineeringly forthcoming advanced CEC complex problems.

Language: Английский

Citations

68

Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches DOI
Ali Ala, Vladimir Šimić, Dragan Pamučar

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 131, P. 107889 - 107889

Published: Jan. 16, 2024

Language: Английский

Citations

25

A comprehensive study on modern optimization techniques for engineering applications DOI Creative Commons
Shitharth Selvarajan

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(8)

Published: July 4, 2024

Abstract Rapid industrialization has fueled the need for effective optimization solutions, which led to widespread use of meta-heuristic algorithms. Among repertoire over 600, 300 new methodologies have been developed in last ten years. This increase highlights a sophisticated grasp these novel methods. The biological and natural phenomena inform strategies seen paradigm shift recent observed trend indicates an increasing acknowledgement effectiveness bio-inspired tackling intricate engineering problems, providing solutions that exhibit rapid convergence rates unmatched fitness scores. study thoroughly examines latest advancements optimisation techniques. work investigates each method’s unique characteristics, properties, operational paradigms determine how revolutionary approaches could be problem-solving paradigms. Additionally, extensive comparative analyses against conventional benchmarks, such as metrics search history, trajectory plots, functions, are conducted elucidate superiority approaches. Our findings demonstrate potential optimizers provide directions future research refine expand upon intriguing methodologies. survey lighthouse, guiding scientists towards innovative rooted various mechanisms.

Language: Английский

Citations

25

Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot DOI Creative Commons
Kornél Katona, Husam A. Neamah, Péter Köröndi

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3573 - 3573

Published: June 1, 2024

Path planning creates the shortest path from source to destination based on sensory information obtained environment. Within planning, obstacle avoidance is a crucial task in robotics, as autonomous operation of robots needs reach their without collisions. Obstacle algorithms play key role robotics and vehicles. These enable navigate environment efficiently, minimizing risk collisions safely avoiding obstacles. This article provides an overview algorithms, including classic techniques such Bug algorithm Dijkstra’s algorithm, newer developments like genetic approaches neural networks. It analyzes detail advantages, limitations, application areas these highlights current research directions robotics. aims provide comprehensive insight into state prospects applications. also mentions use predictive methods deep learning strategies.

Language: Английский

Citations

19

Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection DOI Open Access
Bilal H. Abed-alguni, Noor Aldeen Alawad, Mohammed Azmi Al‐Betar

et al.

Applied Intelligence, Journal Year: 2022, Volume and Issue: 53(11), P. 13224 - 13260

Published: Oct. 8, 2022

Language: Английский

Citations

42

Discrete Improved Grey Wolf Optimizer for Community Detection DOI
Mohammad H. Nadimi-Shahraki,

Ebrahim Moeini,

Shokooh Taghian

et al.

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 2331 - 2358

Published: May 18, 2023

Language: Английский

Citations

33

An Improved Golden Jackal Optimization Algorithm Based on Multi-strategy Mixing for Solving Engineering Optimization Problems DOI
Jun Wang, Wenchuan Wang, Kwok‐wing Chau

et al.

Journal of Bionic Engineering, Journal Year: 2024, Volume and Issue: 21(2), P. 1092 - 1115

Published: Feb. 28, 2024

Language: Английский

Citations

14