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New Paradigms by Non EVM Compatible L2s! · Devcon Archive: Ethereum  Developer Conference
New Paradigms by Non EVM Compatible L2s! · Devcon Archive: Ethereum Developer Conference

Frontiers | Internet of Robotic Things Intelligent Connectivity and  Platforms
Frontiers | Internet of Robotic Things Intelligent Connectivity and Platforms

Hybrid Approaches-Based Sliding-Mode Control for pH Process Control | ACS  Omega
Hybrid Approaches-Based Sliding-Mode Control for pH Process Control | ACS Omega

Machine Learning-Aided Causal Inference Framework for Environmental Data  Analysis: A COVID-19 Case Study | Environmental Science & Technology
Machine Learning-Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study | Environmental Science & Technology

Natural vs. artificial swarms - The Apiarist
Natural vs. artificial swarms - The Apiarist

Eklemek Meksika Büyük Set Resifi less is more new approaches for swarm  control and inference Çocuk Merkezi önem asfaltlama
Eklemek Meksika Büyük Set Resifi less is more new approaches for swarm control and inference Çocuk Merkezi önem asfaltlama

Swarm shedding in networks of self-propelled agents | Scientific Reports
Swarm shedding in networks of self-propelled agents | Scientific Reports

Frontiers | A Smart Robotic Walker With Intelligent Close-Proximity  Interaction Capabilities for Elderly Mobility Safety
Frontiers | A Smart Robotic Walker With Intelligent Close-Proximity Interaction Capabilities for Elderly Mobility Safety

A new approach of gene co-expression network inference reveals significant  biological processes involved in porcine muscle development in late  gestation | Scientific Reports
A new approach of gene co-expression network inference reveals significant biological processes involved in porcine muscle development in late gestation | Scientific Reports

IJMS | Free Full-Text | Advances in De Novo Drug Design: From Conventional  to Machine Learning Methods
IJMS | Free Full-Text | Advances in De Novo Drug Design: From Conventional to Machine Learning Methods

Genetic spider monkey‐based routing protocol to increase the lifetime of  the network and energy management in WSN - Soundaram - 2020 - International  Journal of Communication Systems - Wiley Online Library
Genetic spider monkey‐based routing protocol to increase the lifetime of the network and energy management in WSN - Soundaram - 2020 - International Journal of Communication Systems - Wiley Online Library

Machine Learning and Energy Minimization Approaches for Crystal Structure  Predictions: A Review and New Horizons | Chemistry of Materials
Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons | Chemistry of Materials

Integer particle swarm optimization based task scheduling for  device-edge-cloud cooperative computing to improve SLA satisfaction [PeerJ]
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction [PeerJ]

An improved adaptive neuro fuzzy inference system model using conjoined  metaheuristic algorithms for electrical conductivity prediction |  Scientific Reports
An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction | Scientific Reports

Scale-reconfigurable miniature ferrofluidic robots for negotiating sharply  variable spaces | Science Advances
Scale-reconfigurable miniature ferrofluidic robots for negotiating sharply variable spaces | Science Advances

Electronics | Free Full-Text | Leveraging a Genetic Algorithm for the  Optimal Placement of Distributed Generation and the Need for Energy Management  Strategies Using a Fuzzy Inference System
Electronics | Free Full-Text | Leveraging a Genetic Algorithm for the Optimal Placement of Distributed Generation and the Need for Energy Management Strategies Using a Fuzzy Inference System

When less is more powerful: Shapley value attributed ablation with  augmented learning for practical time series sensor data classification |  PLOS ONE
When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification | PLOS ONE

Wind turbine output power prediction and optimization based on a novel  adaptive neuro-fuzzy inference system with the moving window - ScienceDirect
Wind turbine output power prediction and optimization based on a novel adaptive neuro-fuzzy inference system with the moving window - ScienceDirect

An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects |  Scientific Reports
An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects | Scientific Reports

Frontiers | A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep  Learning for Biosignal Classification
Frontiers | A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

Energies | Free Full-Text | Review of Energy Management System Approaches  in Microgrids
Energies | Free Full-Text | Review of Energy Management System Approaches in Microgrids

Sustainability | Free Full-Text | Review of Recent Developments in  Microgrid Energy Management Strategies
Sustainability | Free Full-Text | Review of Recent Developments in Microgrid Energy Management Strategies

Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference  - ScienceDirect
Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference - ScienceDirect

Eklemek Meksika Büyük Set Resifi less is more new approaches for swarm  control and inference Çocuk Merkezi önem asfaltlama
Eklemek Meksika Büyük Set Resifi less is more new approaches for swarm control and inference Çocuk Merkezi önem asfaltlama

Frontiers | Technological Approach to Mind Everywhere: An  Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
Frontiers | Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds