Advances and Novel Approaches in Discrete Optimization |
Autore | Werner Frank |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (354 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
forgotten index
balaban index reclassified the zagreb indices ABC4 index GA5 index HDN3(m) THDN3(m) RHDN3(m) degree of vertex extended adjacency index scheduling with rejection machine non-availability operator non-availability dynamic programming FPTAS Transportation batching scheduling total weighted completion time unary NP-hard approximation algorithm bi-criteria scheduling online algorithm makespan maximum machine cost competitive ratio network optimization dynamic flow evacuation planning contraflow configuration partial lane reversals, algorithms and complexity logistic supports scheduling algorithm release-time due-date divisible numbers lateness bin packing time complexity batch scheduling linear deterioration job families Max-cut problem combinatorial optimization deep learning pointer network supervised learning reinforcement learning capacitated lot sizing mixed integer formulation retail inventory shortages graph join product crossing number cyclic permutation arithmetic mean combinatorial generation method algorithm AND/OR tree Euler-Catalan's triangle labeled Dyck path ranking algorithm unranking algorithm Harris hawks optimizer load frequency control sensitivity analysis smart grid particle swarm optimization genetic algorithm meta-heuristics packing irregular 3D objects quasi-phi-function s nonlinear optimization single-machine scheduling minimization of maximum penalty dual problem inverse problem branch and bound LNS numerical conversion RISC FPGA embedded systems scheduling job-shop makespan criterion uncertain processing times |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557686003321 |
Werner Frank
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
Autore | Berthold Michael |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
Disciplina | 005.74 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
ISBN | 3-030-44584-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
Record Nr. | UNISA-996418219903316 |
Berthold Michael
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Cham, : Springer Nature, 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence and Ambient Intelligence |
Autore | Gams Matjaz |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (142 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
robotic hand
control perception tactile sensing mechatronics grasping manipulation PUT-Hand underactuated multi-modal fusion machine learning robotics perception for grasping effective computing emotion system emotional machine agent human-machine interface Wi-Fi CSI crowd counting Doppler spectrum information society electronics artificial intelligence ambient intelligence one-dimensional depth sensor biometrics identification affective computing cognitive load psychophysiology supervised learning |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557343203321 |
Gams Matjaz
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Medical and Cyber Security |
Autore | Luo Suhuai |
Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
Descrizione fisica | 1 electronic resource (228 p.) |
Soggetto non controllato |
fintech
financial technology blockchain deep learning regtech environment social sciences machine learning learning analytics student field forecasting imbalanced datasets explainable machine learning intelligent tutoring system adversarial machine learning transfer learning cognitive bias stock market behavioural finance investor’s profile Teheran Stock Exchange unsupervised learning clustering big data frameworks fault tolerance stream processing systems distributed frameworks Spark Hadoop Storm Samza Flink comparative analysis a survey data science educational data mining supervised learning secondary education academic performance text-to-SQL natural language processing database machine translation medical image segmentation convolutional neural networks SE block U-net DeepLabV3plus cyber-security medical services cyber-attacks data communication distributed ledger identity management RAFT HL7 electronic health record Hyperledger Composer cybersecurity password security browser security social media ANOVA SPSS internet of things cloud computing computational models metaheuristics phishing detection website phishing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595066903321 |
Luo Suhuai
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Basel, : MDPI Books, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep Learning Applications with Practical Measured Results in Electronics Industries |
Autore | Kung Hsu-Yang |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (272 p.) |
Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
ISBN | 3-03928-864-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404080403321 |
Kung Hsu-Yang
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Genomics and Models of Nerve Sheath Tumors |
Autore | Hirbe Angela C |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (172 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
neurofibromatosis type 1
nerve sheath tumor cancer latent variables machine learning supervised learning transfer learning random forest metaVIPER tumor deconvolution neurofibromatosis malignant peripheral nerve sheath tumor MPNST polycomb repressive complex PRC2 NF1 kinase kinome adaptation kinome reprogramming MET MEK doxorubicin capmatinib tram genomics tumor evolution pathology next generation sequencing clinical genetics malignant peripheral nerve sheath tumors plexiform neurofibromas Schwann cells neurofibromatosis type 1 syndrome neurofibromin 1 genetically engineered mouse models heterogeneity CRISPR/Cas9 mouse models sarcoma tumor microenvironment neurofibromatosis 1 (NF1) mebendazole (MBZ) COX-2 inhibitor malignancy chemoprevention nerve sheath tumors |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557484703321 |
Hirbe Angela C
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis—Current Best Practices |
Autore | Hanhineva Kati |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557354403321 |
Hanhineva Kati
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Piezoelectric Transducers : Materials, Devices and Applications |
Autore | Sanchez-Rojas Jose Luis |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (524 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
cylindrical composite
piezoceramic/epoxy composite electromechanical characteristics transducer piezoelectric actuators positioning trajectory control numerical analysis trajectory planning square piezoelectric vibrator resonance piezoelectric diaphragm pump flexible support piezoelectric resonance pump piezoelectric ceramics actuators hysteresis modeling Bouc-Wen model P-type IL MFA control SM control evidence theory active vibration control piezoelectric smart structure piezoelectric material multiphysics simulation finite element method (FEM) fluid-structure interaction (FSI) micro electromechanical systems (MEMS) traveling waves piezoelectric microactuator MEMS piezoelectric current sensing device two-wire power cord cymbal structure force amplification effect sensitivity ciliary bodies touch beam piezoelectric tactile feedback devices anisotropic vibration tactile model human factor experiment nondestructive testing maturity method concrete early-age strength SmartRock ultrasonic waves PZT (piezoelectric) sensors structural health monitoring AlN thin film piezoelectric effect resonant accelerometer z-axis debonding non-destructive testing electromechanical impedance damage detection impedance-based technique damage depth piezoelectric vibration energy harvester frequency up-conversion mechanism impact PZT thick film piezoelectric ceramic materials Duhem model hysteresis model class-C power amplifier diode expander piezoelectric transducers point-of-care ultrasound systems transverse impact frequency up-conversion piezoelectric bimorph human-limb motion hybrid energy harvester cascade-connected transducer low frequency small size finite element acoustic telemetry measurement while drilling energy harvesting pipelines underwater networks wireless sensor networks control algorithm waterproof coating reliability flexible micro-devices aqueous environments seawater capacitive pressure sensors in-situ pressure sensing sensor characterization physiological applications cardiac output aluminum nitride resonator damping quality factor electromechanical coupling implantable middle ear hearing device piezoelectric transducer stimulating site finite element analysis hearing compensation adaptive lens piezoelectric devices fluid-structure interaction moving mesh thermal expansion COMSOL petroleum acoustical-logging piezoelectric cylindrical-shell transducer center-frequency experimental-measurement piezoelectricity visual servo control stepping motor nano-positioner stick-slip piezoelectric energy harvester cut-in wind speed cut-out wind speed energy conservation method critical stress method piezoelectric actuator lever mechanism analytical model stick-slip frication nanopositioning stage piezoelectric hysteresis mark point recognition piecewise fitting compensation control piezo-electromagnetic coupling up-conversion vibration energy harvester multi-directional vibration low frequency vibration hysteresis compensation single-neuron adaptive control Hebb learning rules supervised learning vibration-based energy harvesting multimodal structures frequency tuning nonlinear resonator bistability magnetostatic force robot miniature traveling wave leg piezoelectric actuators (PEAs) asymmetric hysteresis Prandtl-Ishlinskii (PI) model polynomial-modified PI (PMPI) model feedforward hysteresis compensation PIN-PMN-PT 1-3 composite high frequency phased array |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Piezoelectric Transducers |
Record Nr. | UNINA-9910674028803321 |
Sanchez-Rojas Jose Luis
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sensors for Gait, Posture, and Health Monitoring Volume 1 |
Autore | Lockhart Thurmon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (410 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557426503321 |
Lockhart Thurmon
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sensors for Gait, Posture, and Health Monitoring Volume 2 |
Autore | Lockhart Thurmon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (392 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557672103321 |
Lockhart Thurmon
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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