Results 161 to 170 of about 58,336 (216)

Sunn Pest Optimization (SPO): A Phase-Differentiated Bio-Inspired Metaheuristic for Global Optimization with Application to Precision Agriculture Monitoring Networks. [PDF]

Biomimetics (Basel)
Diri S.
europepmc   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Performance modeling and optimization of a smart sensor-based Hydroponic system using PSO and Genetic algorithms. [PDF]

Sci Rep
Kumar A, Jadhav S.
europepmc   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

SNPoptimizer: a scalable genetic-algorithm framework to derive minimal discriminatory SNP panels from large genotyping datasets. [PDF]

Mol Breed
Esposito S, Scalzi N, Palombieri S, Sanseverino W, Sestili F, Stella A, Balestrini R, Grillo S, Bressan RA, Batelli G.   +9 more
europepmc   +1 more source

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son, Taejun Ha, Taeyoung Nam, Yoonyoung Chung, Sunmean Kim   +4 more
wiley   +1 more source

Adaptive error compensation in CNC turning based on deep reinforcement learning and genetic algorithm fusion. [PDF]

Sci Rep
Pan H, Lv Y, Bai W.
europepmc   +1 more source

Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review

Advanced Intelligent Systems, EarlyView.
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu, Yuanwen Zhang, Xiangdong Meng, Guangyu Zhang, Huiwen Zhang, Yuquan Leng   +5 more
wiley   +1 more source