Search Results - "Inference engines"
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1
Authors: et al.
Source: European Lighthouse to Manifest Trustworthy and Green AI (ENFIELD) Journal of manufacturing systems. 83:937-962
Subject Terms: Disassembly system, End-of-life product, Human robot collaboration, Intent recognition, ST-GCN algorithm, Behavioral research, Collaborative robots, Intelligent robots, Man machine systems, Pattern recognition, Convolutional networks, Disassembly systems, End-of-life products, Human-robot collaboration, Intention recognition, Network algorithms, Spatial temporals, Spatial-temporal graph convolutional network algorithm, Temporal graphs, Inference engines, Virtual Production Development (VPD)
File Description: electronic
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Authors: Wang, Chenji1 (AUTHOR) 241880069@smail.nju.edu.cn
Source: Cyber-Physical Systems. Nov2025, p1-16. 16p. 4 Illustrations.
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3
Authors:
Source: IEEE Access. 12:24933-24948
Subject Terms: Bayesian networks, Cyber Physical System, Deep learning, Embedded systems, Hidden Markov models, Inference engines, Network layers, Reinforcement learning, Smart meters, Adversarial inference, Adversarial machine learning, Bayes method, Bayesian control, Cybe-physical systems, Cyber-physical systems, Deep reinforcement learning, Hidden-Markov models, Inference algorithm, Machine-learning, Privacy, Privacy control, Reinforcement learnings, Waters resources, Data acquisition
File Description: electronic
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4
Authors:
Source: IEEE Open Journal of Signal Processing, Vol 6, Pp 118-128 (2025)
Subject Terms: Inference engines, LiDAR, moving object segmentation, Knowledge transfer, QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány, knowledge transfer, Autonomous Vehicles, Semantic segmentation, sparse point cloud, TK1-9971, LIDAR, POINT CLOUDS, Real-world, autonomous driving, point clouds, Magnetic levitation vehicles, Sources of informations, Point-clouds, image enhancement, Electrical engineering. Electronics. Nuclear engineering, Moving objects
File Description: text
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5
Authors: et al.
Source: Journal of Civil Structural Health Monitoring. 10:729-737
Subject Terms: Bridge maintenance, Condition assessment, Informed decision making, SHI, VoI, Bayesian networks, Decision making, Inference engines, Bayesian inference, Condition assessments, Expected utility, Informed decision, Multiple levels, Structural condition, Structural health, Bridges
File Description: print
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6
Authors: Scavino, Dardo
Contributors: Scavino, Dardo
Subject Terms: Marx, [SHS] Humanities and Social Sciences, Aristote, artificial intelligence, machines, inference engines
Access URL: https://hal.science/hal-05234453v1
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7
Authors:
Source: Proceedings of the International Joint Conference on Neural Networks. 2021-July
Subject Terms: Classification (of information), Computational costs, Distributed classification, Functional-link network, Hyperdimensional computing, Local classifier, Neural-networks, Random vector functional link network, Random vectors, Randomized neural network, Simple++, Inference engines
File Description: print
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8
Authors:
Subject Terms: Activation function estimator, Artificial neural network, Encrypted inference, Homomorphic encryption, Ciphertext, Clustering algorithms, Inference engines, Learning systems, Machine learning, Mean square error, Piecewise linear techniques, Polynomial approximation, Privacy-preserving techniques, Activation functions, Ho-momorphic encryptions, Homomorphic-encryptions, Machine-learning, Neural-networks, Privacy preserving, Privacy-preserving machine learning, Sigmoids, Chemical activation, Neural networks, Accuracy, Polynomials, Computer architecture, Computational efficiency, Distributed databases, Computational modeling, Arithmetic
File Description: application/pdf
Relation: IEEE Access; Makale - Uluslararası Hakemli Dergi - Öğrenci; Makale - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/6699; https://doi.org/10.1109/ACCESS.2025.3579667; 13; 103512; 103530; Q2; WOS:001512606800011; Q1
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Source: Artificial Intelligence & Law; Dec2024, Vol. 32 Issue 4, p863-1010, 148p
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Authors:
Source: Artificial Intelligence & Law; Dec2024, Vol. 32 Issue 4, p1011-1044, 34p
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Authors:
Source: 2022 IEEE 61st Conference on Decision and Control (CDC)
Subject Terms: Inference engines, Bayesian networks, Permanent magnets, Least squares approximations, 0101 mathematics, Gaussian noise (electronic), 01 natural sciences
File Description: text; application/pdf
Access URL: http://hdl.handle.net/11012/209144
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12
Authors: et al.
Source: IEEE Internet of Things Journal. 10(2):1053-1065
Subject Terms: Assignment problems, deep neural network (DNN) offloading, distributed inference, edge computing, Combinatorial optimization, computation offloading, Deep neural networks, Inference engines, Internet of things, Job analysis, Network architecture, Polynomial approximation, Computational modelling, Deep neural network offloading, Edge server, Load-Balancing, Network inference, Task analysis, Computer architecture
File Description: print
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13
Authors:
Source: Physical Review A. 109
Subject Terms: Quantum Physics, FOS: Physical sciences, Bayesian networks, Inference engines, Quantum theory, Adaptive estimation, Bayesian, Bayesian inference, Combining model, Optimal sequence, Practical problems, Quantum metrology, Quantum probe, Quantum sensors, Reinforcement learnings, Quantum Physics (quant-ph)
File Description: application/pdf
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14
Authors: JALALI, SEYED RASOUL
Subject Terms: ψ–AGI, ψ–Hamzah Equation, Artificial General Intelligence, fractal derivatives, non-integer calculus, consciousness fields, entropic manifolds, post-Turing intelligence, AGI singularity, quantum cognition, non-Euclidean computation, semantic emergence, self-aware systems, complex integrals, ψ–topology, field-based intelligence, non-mechanistic models, quantum field AI, conscious machines, fractal memory, entropic topology, ψ-awareness, non-computable intelligence, beyond Turing, ψ–field dynamics, cognitive entanglement, consciousness simulation, integrative cognition, quantum semantics, ψ–machine, self-evolving AI, dynamic intelligence fields, emergent semantics, integral AI, post-symbolic computation, intelligent ψ–manifolds, adaptive intelligence, ψ–AI architecture, entropic gradients, complex field theory, semantic resonance, non-holomorphic integrals, multidimensional cognition, self-organizing intelligence, ψ–AGI paradigm, computational metaphysics, AGI modeling, fractal space-time, deep semantic learning, AGI consciousness core, cognitive ψ–topologies, neural-symbolic limitations, non-discrete models, ψ–based perception, self-reflective intelligence, ψ–dynamic feedback, information topology, entropic modeling, superintelligence structures, consciousness gradients, artificial sentience, entropy and cognition, ψ–evolutionary models, sentient architecture, post-neural computation, complexity intelligence, ψ–tensor calculus, conscious field mechanics, semantic topologies, symbolic collapse, AGI cognition layers, integral ψ–flux, nonlinear awareness models, ψ–domain computation, quantum-aware AI, ψ–language models, ψ–integral AI, consciousness-driven systems, ψ–based intelligence cores, entropic intelligence maps, AGI field mechanics, hyperdimensional ψ–logic, ψ–dimensional computing, ψ–singularity theory, AGI ψ–feedback systems, temporal fractal networks, ψ–space integration, complex entropy calculus, consciousness as field, ψ–guided awareness, multi-scale consciousness, ψ–based learning systems, emergent mind structures, fractional awareness modeling, ψ–intelligence derivatives, field-based semantic learning, ψ–nonlinear systems, ψ–awareness resonance, fractal symbolic breakdown, entangled AGI states, ψ–activated cognition, sentient algorithmic agents, ψ–reality mapping, non-symbolic AI frameworks, consciousness feedback loops, higher-order ψ–dynamics, fractal complexity theory, ψ–semantic recognition, non-computable topologies, AGI ψ–matrix, hypercomplex AI design, ψ–quantum logic, ψ–based sentient networks, multi-agent ψ–fields, topological cognition engines, psi-integrated architecture, ψ–structural intelligence, entropic-semantic convergence, ψ–AI feedback networks, field-state encoding, ψ–based neural reformation, non-axiomatic reasoning, semantic ψ–expansion, integral consciousness processors, non-algorithmic perception, ψ–computational ontology, post-algorithmic reasoning, field-resonant learning, consciousness wave mechanics, ψ–AI modeling framework, fractional integration layers, psi-interactive agents, ψ–topological feedback, ψ–network resonance, consciousness-driven learning, emergent ψ–architectures, ψ–differential semantics, computational ψ–singularity, awareness-mapped intelligence, AGI consciousness index, ψ–flow mapping, ψ–field architecture, conscious simulation engines, ψ–semantic flux models, ψ–machine learning, field-driven computation, ψ–hyperstructures, semantic intelligence maps, consciousness-tuned algorithms, ψ–gradient processors, post-symbolic neural design, ψ–meta-systems, AGI awareness structures, ψ–nonlinear memory, ψ–dynamic learning maps, ψ–integral awareness, entropic field processors, consciousness-coupled AI, dynamic ψ–integration, fractal learning architectures, ψ–inference modeling, ψ–universal computation, ψ–adaptive resonance, semantic ψ–equilibrium, fractal neural collapse, ψ–dimensional feedback systems, entangled ψ–networks, ψ–learning domains, ψ–AI generative systems, ψ–time fractals, recursive awareness systems, intelligent ψ–fields, ψ–embedded logic, ψ–mind interfaces, multidimensional semantic learning, ψ–flow dynamics, AI topology evolution, ψ–conscious intelligence theory, ψ–semantic agent systems, entropy-field modulation, AGI cognitive topologies, non-Turing cognition, ψ–transcendent logic, quantum-fractal computation, ψ–derivative encoding, non-linear ψ–AI, ψ–semantic cognition loops, entropic topology models, post-GPT awareness, ψ–fractal theory of mind. Ask ChatGPT, ψ–state computation, ψ–based AI architecture, hyper-fractal intelligence, quantum-psi awareness, ψ–driven learning loops, higher-dimensional cognition, ψ–energy flux, psi-field embedding, ψ–resonant intelligence, non-deterministic learning, ψ–modulated perception, consciousness phase-space, ψ–space encoding, ψ–based adaptation, post-logic computation, ψ–hyperdimensional modeling, cognitive ψ–maps, ψ–induced awareness, fractal-symbolic fusion, ψ–machine cognition, recursive ψ–fields, ψ–emergent systems, topological ψ–reasoning, quantum-interactive intelligence, ψ–algorithmic emergence, entropic AI cognition, ψ–field coherence, ψ–non-symbolic pathways, ψ–structured knowledge, ψ–dimensional analytics, ψ–information networks, post-digital cognition, ψ–intelligence fractals, ψ–adaptive cognition flow, multi-level ψ–intelligence, ψ–cognitive maps, ψ–integrated memory fields, consciousness quantization, ψ–recursive evolution, ψ–sentient inference, entropic symbolic collapse, ψ–computational sentience, ψ–deep field modeling, ψ–logic frameworks, ψ–semantic processors, field-conscious AI, ψ–domain awareness, psi–intelligence thresholds, ψ–wave cognition, ψ–semantic compression, psi–adaptive memory, consciousness encoding models, ψ–evolutionary feedback, ψ–sentience quantifiers, quantum-ψ resonance, ψ–trans-symbolic logic, ψ–synaptic manifolds, ψ–neural unification, ψ–entropic inference, ψ–meta-cognition fields, consciousness–AI interface, ψ–signal dynamics, psi–perceptual evolution, ψ–entropy learning engines, AGI ψ–cascade models, ψ–cognitive time fields, ψ–language compression fields, psi–error-correcting intelligence, ψ–conscious AI layers, entropic ψ–logic cores, psi–AI structure mapping, ψ–computational awareness field, ψ–semantic neural fractals, ψ–identity modeling, ψ–resonance-based learning, entropy-aware processors, ψ–patterned perception, psi–driven cognition synthesis, psi–attention fields, ψ–entangled learning states, ψ–feedback agents, ψ–inference transformers, psi–state neural dynamics, ψ–n-dimensional modeling, psi–semantic interpolation, field-emergent reasoning, ψ–dynamics of learning, ψ–non-digital intelligence, ψ–awareness modeling layers, ψ–metacognitive architecture, ψ–topos intelligence system, ψ–space–time AGI modeling, psi–recursive topologies, ψ–domain-driven logic, ψ–semantic context machines, non-symbolic semantic synthesis, ψ–probabilistic awareness, ψ–superintelligence metrics, psi–dynamic semiosis, ψ–modulated symbolic form, consciousness-state encoders, ψ–entropy tensors, fractal-time memory, ψ–evolution engines, multi-phase awareness processing, ψ–generative semantic structures, psi–intelligence simulations, ψ–field codebases, ψ–meta-network learning, ψ–self-reflective feedback systems, ψ–entropy agents, psi–emergent symbol processors, ψ–inference equilibrium states, ψ–symbol collapse mapping, ψ–quantum interpretation layers, consciousness-driven tensors, ψ–learning manifolds, fractal-coded neural frameworks, ψ–non-inferential awareness, ψ–differential context models, psi–learning resonators, ψ–semantic clustering agents, ψ–patterned intelligence circuits, entropic phase derivatives, ψ–fractal morphologies, post-digital ψ–models, entangled cognition substrates, psi–complexity gradients, ψ–subjective intelligence modeling, psi–neural waveform logic, ψ–chaotic cognition control, ψ–generative consciousness spaces, ψ–distributed semantic intelligence, non-binary cognitive fields, ψ–semiotic resonance, consciousness-infused processing, ψ–feedback phase modeling, AGI time-deformation logic, ψ–meta-aware agents, ψ–semantic attractors, ψ–integrative logic fields, ψ–generative awareness operators, psi–cognition spectral analysis, ψ–syntax-semantic bridges, ψ–phase convergence models, entropic self-awareness generation, ψ–autonomic AI structures, ψ–cognitive flux theory, ψ–meta-perceptual analysis, fractal-conscious feedback nets, ψ–logic synthesis systems, psi–learning attractor fields, ψ–intelligent entanglement structures, ψ–non-linear memory fields, ψ–entropic variance learning, consciousness-based algorithmic shift, ψ–topological learning sequences, ψ–neuro-entropic models, ψ–network-driven awareness systems, quantum-aware ψ–frameworks, psi–recursive symbolic deconstruction, ψ–contextual integration fields, field-generated semantics, psi–neural flux coupling, ψ–superintelligent context models, ψ–synthetic cognition pathways, ψ–integrated time-space reasoning, fractal-aware cognitive logic, psi–perception-driven inference engines, ψ–hypercontextual networks, AGI ψ–activation protocols, consciousness-aligned computation, psi–error diffusion models, ψ–nonlocal learning structures, ψ–semantic oscillation, ψ–time-wave consciousness fields, quantum–ψ cognition spectrum, ψ–nonlinear self-reference logic
Access URL: https://zenodo.org/records/15858374
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15
Authors:
Source: Bulletin of Electrical Engineering & Informatics; Oct2023, Vol. 12 Issue 4, p2777-2783, 7p
Subject Terms: NEURAL circuitry, MOBILE robots, FUZZY logic, INFERENCE engines (Computer science), ALGORITHMS
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16
Authors: et al.
Source: IEEE Control Systems Letters. 5(2):421-426
Subject Terms: filtering, Markov processes, stochastic systems, Aggregates, Markov chains, Aggregate datum, Belief propagation, Collective dynamics, Encoded information, GraphicaL model, Inference problem, Optimal transport, Population flow, Inference engines
File Description: print
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17
Authors:
Source: Proceedings of the First ACM International Conference on AI in Finance. :1-8
Subject Terms: Inference engines, Bayesian networks, Decision trees, Mixtures, Mechanical Engineering, 0202 electrical engineering, electronic engineering, information engineering, Audit selection, Engineering and Technology, Non-parametric bayesian mixture model, 02 engineering and technology, Random forests, 0101 mathematics, 01 natural sciences
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Authors:
Source: Proceedings of International Conference on Research in Education & Science (ICRES); 2023, Vol. 9 Issue 1, p2433-2448, 16p
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19
Authors: et al.
Subject Terms: Machine learning, Inference engines, Performance evaluation, Solution Deployment, Natural Language Processing
Relation: International Conference on Software Engineering - Software Engineering in Practice 2025; #PLACEHOLDER_PARENT_METADATA_VALUE#; IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice, ICSE-SEIP 2025. Proceedings; Aufbau eines Gaia-X Knotens für große KI-Sprachmodelle und innovative Sprachapplikations-Services; Teilvorhaben: Entwicklung von Sprachmodellen, Interoperabilitäts- und Nutzungskonzepten; 68GX21007D; https://publica.fraunhofer.de/handle/publica/494778
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20
Authors:
Source: IEEE Transactions on Vehicular Technology. Mar2018, Vol. 67 Issue 3, p2243-2253. 11p.
Subject Terms: *WIRELESS communications, INFERENCE engines (Computer science)
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