Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Climate-driven restructuring of sediment microbiomes and ecosystem functions in aquaculture systems. [PDF]
Mataragka A, Ringø E, Papastathis AK.
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Evaluating disruption scenarios for improving downstream oil supply chain resilience and cost minimization using Monte Carlo simulation. [PDF]
Awan MAH +5 more
europepmc +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Fusarium wilt disease induced changes in the composition and function of the rhizosphere metabolome and microbiome in tobacco plants. [PDF]
Yang L +9 more
europepmc +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
Ashokaraju D +4 more
europepmc +1 more source
Neural network-driven user behavior forecasting and personalized recommendation in power marketing. [PDF]
Yu L, Hong Y, Liu Z, Wang Z, Zhao X.
europepmc +1 more source
Structure and community assembly of rare bacterial community in sediments of Sancha Lake. [PDF]
Li Y, Li Y, Wu Y, Liu Z, Luo S, Gong S.
europepmc +1 more source

