Search Results - "Cuevas, Erik"

A global optimization algorithm inspired in the behavior of selfish herds by Fausto, Fernando, Cuevas, Erik, Valdivia, Arturo, González, Adrián

“…In this paper, a novel swarm optimization algorithm called the Selfish Herd Optimizer (SHO) is proposed for solving global optimization problems. SHO is based…”
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A diversity metric for population-based metaheuristic algorithms by Osuna-Enciso, Valentín, Cuevas, Erik, Morales Castañeda, Bernardo

“…In Metaheuristic Algorithms (MA), the balance between exploration and exploitation is a common issue considered an open research problem in the MA community…”
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DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images by Pramanik, Payel, Roy, Ayush, Cuevas, Erik, Perez-Cisneros, Marco, Sarkar, Ram

“…Breast cancer remains a critical global concern, underscoring the urgent need for early detection and accurate diagnosis to improve survival rates among women…”
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A comparison of nature inspired algorithms for multi-threshold image segmentation by Osuna-Enciso, Valentı´n, Cuevas, Erik, Sossa, Humberto

“…► We present an empirical comparison of three state of the art meta-heuristics. ► Were used blood images to perform thresholding by a mixture of Gaussian…”
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An Improved Crow Search Algorithm Applied to Energy Problems by Díaz, Primitivo, Pérez-Cisneros, Marco, Cuevas, Erik, Avalos, Omar, Gálvez, Jorge, Hinojosa, Salvador, Zaldivar, Daniel

“…The efficient use of energy in electrical systems has become a relevant topic due to its environmental impact. Parameter identification in induction motors and…”
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Considering radial basis function neural network for effective solution generation in metaheuristic algorithms by Cuevas, Erik, Ascencio-Piña, Cesar Rodolfo, Pérez, Marco, Morales-Castañeda, Bernardo

“…In many engineering optimization problems, the number of function evaluations is severely limited by the time or cost constraints. These limitations present a…”
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A New Metaphor-Free Metaheuristic Approach Based on Complex Networks and Bezier Curves by Avila, Karla, Cuevas, Erik, Perez, Marco, Sarkar, Ram

“…A metaheuristic method is an optimization technique that is generally inspired by natural or physical processes. The use of metaphors has created a tendency to…”
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A Cuckoo Search Algorithm for Multimodal Optimization by Cuevas, Erik, Reyna-Orta, Adolfo

“…Interest in multimodal optimization is expanding rapidly, since many practical engineering problems demand the localization of multiple optima within a search…”
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An agent-based model to evaluate the COVID-19 transmission risks in facilities by Cuevas, Erik

“…The rapid spread of the coronavirus disease (COVID-19) has become a global threat affecting almost all countries in the world. As countries reach the infection…”
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Deepfake detection using deep feature stacking and meta-learning by Naskar, Gourab, Mohiuddin, Sk, Malakar, Samir, Cuevas, Erik, Sarkar, Ram

“…Deepfake is a type of face manipulation technique using deep learning that allows for the replacement of faces in videos in a very realistic way. While this…”
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Image segmentation by agent-based pixel homogenization by Ayala, Ernesto, Cuevas, Erik, Zaldivar, Daniel, Perez, Marco

“…Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image…”
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Multilevel Thresholding Segmentation Based on Harmony Search Optimization by Oliva, Diego, Cuevas, Erik, Pajares, Gonzalo, Zaldivar, Daniel, Pérez-Cisneros, Marco

“…In this paper, a multilevel thresholding (MT) algorithm based on the harmony search algorithm (HSA) is introduced. HSA is an evolutionary method which is…”
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Special issue: Bio-inspired algorithms and Bio-systems by Cuevas, Guest Editors Erik, Oliva, Diego, Osuna, Valentín

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Artificial Bee Colony (ABC) algorithm and its use in digital image processing by Cuevas, Erik

“…Classical methods often face great difficulties in solving image processing problems in images containing noise and distortions. Under such conditions, the use…”
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A Graph Segmentation Method Based on Compatibility Subgraph Aggregation by Cuevas, Erik, Guzman-Rosales, Carlos, Perez-Cisneros, Marco, Sarkar, Ram

“…Graph-based methods, distinguished by their resilience to noise, have demonstrated efficacy in image segmentation compared to alternative techniques. Despite…”
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A Modified Simulated Annealing (MSA) Algorithm to Solve the Supplier Selection and Order Quantity Allocation Problem with Non-Linear Freight Rates by Gonzalez-Ayala, Paulina, Alejo-Reyes, Avelina, Cuevas, Erik, Mendoza, Abraham

“…Economic Order Quantity (EOQ) is an important optimization problem for inventory management with an impact on various industries; however, their mathematical…”
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Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach by Zarate, Omar, Zaldívar, Daniel, Cuevas, Erik, Perez, Marco

“…Segmentation of pneumonia on lung radiographs is vital for the precise diagnosis and monitoring of the disease. It enables healthcare professionals to locate…”
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Groundwater Flow Algorithm: A Novel Hydro-geology based Optimization Algorithm by Guha, Ritam, Ghosh, Soulib, Ghosh, Kushal Kanti, Cuevas, Erik, Perez-Cisneros, Marco, Sarkar, Ram

“…A novel meta-heuristic nature-inspired optimization algorithm known as Groundwater Flow Algorithm (GWFA) is proposed in this paper. GWFA is inspired from the…”
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Agent-Based Image Contrast Enhancement Algorithm by Luque-Chang, Alberto, Cuevas, Erik, Chavarin, Angel, Perez-Cisneros, Marco

“…One crucial step in several image processing and computer vision applications is Image Contrast Enhancement (ICE), whose main objective is to improve the…”
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Correction: Z-Transform-Based Profile Matching to Develop a Learning-Free Keyword Spotting Method for Handwritten Document Images by Banerjee, Debanshu, Bhowal, Pratik, Malakar, Samir, Cuevas, Erik, Pérez‑Cisneros, Marco, Sarkar, Ram

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