Cover Image

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Younesi, Abolfazl, Ansari, Mohsen, Fazli, MohammadAmin, Ejlali, Alireza, Shafique, Muhammad, Henkel, Jörg
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing
by: Younesi, Abolfazl, et al.
Published: (2024)

Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning
by: Nadafian, Alireza, et al.
Published: (2024)

Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
by: Ahmad, Ijaz, et al.
Published: (2026)

Addressing The Knapsack Challenge Through Cultural Algorithm Optimization
by: Vahdatpour, Mohammad Saleh
Published: (2023)

Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
by: Minhas, Mishal Fatima, et al.
Published: (2024)

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems
by: Saeed, Yasmeen, et al.
Published: (2026)

Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks
by: Zebendo, Lúcio Folly Sanches, et al.
Published: (2026)

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
by: Devkota, Avaneesh, et al.
Published: (2024)

A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
by: Li, Ke
Published: (2024)

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
by: Nikfam, Farzad, et al.
Published: (2023)

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting
by: Dehkordi, Amin Abdollahi, et al.
Published: (2025)

Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems
by: Rashed, Noor A., et al.
Published: (2024)

SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Drain-Vortex Optimization: A Population-Based Metaheuristic Inspired by Multi-Drain Free-Vortex Flow
by: Omidi, Mohsen, et al.
Published: (2026)

A System for Critical Facility and Resource Optimization in Disaster Management and Planning
by: Tung, Emmanuel, et al.
Published: (2024)

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
by: Balaskas, Konstantinos, et al.
Published: (2023)

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
by: Lin, Yuanguo, et al.
Published: (2024)

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
by: Neshat, Mehdi, et al.
Published: (2024)

SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Future Trends in the Design of Memetic Algorithms: the Case of the Linear Ordering Problem
by: Lugo, Lázaro, et al.
Published: (2024)

Convolutional Spiking Neural Network for Image Classification
by: Kiselev, Mikhail, et al.
Published: (2025)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

A two-phase-ACO algorithm for solving nonlinear optimization problems subjected to fuzzy relational equations
by: Ghodousian, Amin, et al.
Published: (2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Annotated History of Modern AI and Deep Learning
by: Schmidhuber, Juergen
Published: (2022)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024)

Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic
by: Dehkordi, Amin Abdollahi, et al.
Published: (2025)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)

DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
by: Wu, Kai, et al.
Published: (2023)

QSViT: A Methodology for Quantizing Spiking Vision Transformers
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2026)

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong
by: O'Connor, Jim, et al.
Published: (2025)

Connectome-Guided Automatic Learning Rates for Deep Networks
by: He, Peilin, et al.
Published: (2025)

Deep Learning: Our Miraculous Year 1990-1991
by: Schmidhuber, Juergen
Published: (2020)

Automated Optimal Layout Generator for Animal Shelters: A framework based on Genetic Algorithm, TOPSIS and Graph Theory
by: Jalayer, Arghavan, et al.
Published: (2024)

Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives
by: Chauhan, Dikshit, et al.
Published: (2025)

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
by: Lutes, Nathan, et al.
Published: (2022)

SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
by: Dhakad, Narendra Singh, et al.
Published: (2024)