top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Biomarkers and Biosensors for Cervical Cancer Diagnosis [[electronic resource] /] / edited by John Bosco Balaguru Rayappan, Jung Heon Lee
Biomarkers and Biosensors for Cervical Cancer Diagnosis [[electronic resource] /] / edited by John Bosco Balaguru Rayappan, Jung Heon Lee
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (IX, 115 p. 18 illus., 15 illus. in color.)
Disciplina 571.978
616.994
Soggetto topico Cancer
Tumor markers
Medical screening
Materials
Detectors
Cancer Biology
Tumour Biomarkers
Cancer Screening
Sensors and biosensors
Càncer de coll uterí
Biosensors
Marcadors bioquímics
Diagnòstic
Soggetto genere / forma Llibres electrònics
ISBN 981-16-2586-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. An Introduction to Cancer Biomarkers -- Chapter 2. Cervical Cancer -- Chapter 3. Potential Biomarkers for Early Diagnosis of Cervical Cancer -- Chapter 4. Methods for Screening of Cervical Cancer: State of Art -- Chapter 5. Electrochemical DNA Biosensors for Cervical Cancers -- Chapter 6. Optical DNA based Sensors for Cervical Cancers -- Chapter 7. Other Biosensors for Cervical Cancer Detection.
Record Nr. UNINA-9910495247203321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biosensors for the Marine Environment [[electronic resource] ] : Present and Future Challenges / / edited by Fiona Regan, Peter-Diedrich Hansen, Damià Barceló
Biosensors for the Marine Environment [[electronic resource] ] : Present and Future Challenges / / edited by Fiona Regan, Peter-Diedrich Hansen, Damià Barceló
Autore Regan Fiona
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (265 pages)
Disciplina 577.7
Altri autori (Persone) HansenPeter-Diedrich
BarcelóDamià
Collana The Handbook of Environmental Chemistry
Soggetto topico Environmental chemistry
Materials
Detectors
Freshwater ecology
Marine ecology
Environment
Environmental Chemistry
Sensors and biosensors
Freshwater and Marine Ecology
Environmental Sciences
Soggetto non controllato Biology
Science
ISBN 9783031320019
9783031320002
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biosensors for the Marine Environment: Introduction -- Microgravity Changes Membrane Properties and Triggers Bioluminescence in Pyrocystis noctiluca as an Approach for New Biosensor Concepts -- Addressing Ciguatera Risk Using Biosensors for the Detection of Gambierdiscus and Ciguatoxins -- Antibody, Aptamer and Affimer-Based Affinity Tools for Marine Toxin Biosensing -- Environmental DNA as a Tool for Single Species Detection -- Paper-Based Devices for Virus Detection in Water -- Electrochemical MIP Sensors for Environmental Analysis -- Whole-Cell Biosensors and Phagocytosis with Cryo-Conserved Cells in Coastal Areas and in Orbit (ISS) Under Microgravity -- Marine Whole-Cell Biosensing for “Real-Time” Determination of the Ballast Water Treatment Efficiency -- Sensors for Monitoring Faecal Indicator Bacteria in Bathing Waters -- Electrochemical (Bio)sensors for Toxins Control in the Marine Environment. .
Record Nr. UNINA-9910726288403321
Regan Fiona  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Electrochemical Biosensors for Whole Blood Analysis [[electronic resource] /] / edited by Fan Xia, Hui Li, Shaoguang Li, Xiaoding Lou
Electrochemical Biosensors for Whole Blood Analysis [[electronic resource] /] / edited by Fan Xia, Hui Li, Shaoguang Li, Xiaoding Lou
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 610.28
Soggetto topico Materials
Detectors
Analytical chemistry
Sensors and biosensors
Analytical Chemistry
Bioanalytical Chemistry
ISBN 981-9956-44-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Electrochemical biosensors and the signaling -- Electrochemical biosensors for ions detection -- Electrochemical biosensors for neurotransmitters detection -- Electrochemical biosensors for metabolites detection -- Electrochemical biosensors for drugs detection -- Electrochemical biosensors for amino acids detection -- Electrochemical biosensors for nucleic acids detection -- Electrochemical biosensors for microRNA detection -- Electrochemical biosensors for hepatic and cardiac biomarkers detection -- Electrochemical biosensors for inflammatory biomarkers detection -- Electrochemical biosensors for tumor biomarkers detection -- Electrochemical biosensors for cells and cell exosomes detection -- Future perspectives of electrochemical biosensors for whole blood analysis.
Record Nr. UNINA-9910746978903321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Smart Technologies for Critical Infrastructure [[electronic resource] /] / edited by Shantanu Pal, Zahra Jadidi, Ernest Foo, Subhas C. Mukhopadhyay
Emerging Smart Technologies for Critical Infrastructure [[electronic resource] /] / edited by Shantanu Pal, Zahra Jadidi, Ernest Foo, Subhas C. Mukhopadhyay
Autore Pal Shantanu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (172 pages)
Disciplina 004.678
Altri autori (Persone) JadidiZahra
FooErnest
MukhopadhyaySubhas C
Collana Smart Sensors, Measurement and Instrumentation
Soggetto topico Internet of things
Machine learning
Materials
Detectors
Engineering—Data processing
Cooperating objects (Computer systems)
Internet of Things
Machine Learning
Sensors and biosensors
Data Engineering
Cyber-Physical Systems
Soggetto non controllato Engineering
Technology & Engineering
ISBN 3-031-29845-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910728929703321
Pal Shantanu  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Individualizing Training Procedures with Wearable Technology [[electronic resource] /] / edited by Peter Düking, Billy Sperlich
Individualizing Training Procedures with Wearable Technology [[electronic resource] /] / edited by Peter Düking, Billy Sperlich
Autore Düking Peter
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (125 pages)
Disciplina 613.711
Altri autori (Persone) SperlichBilly
Soggetto topico Human physiology
Materials
Detectors
Physical education and training
Sports sciences
Human Physiology
Sensors and biosensors
Sport Training
Sport Science
ISBN 3-031-45113-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sensor data to individualize athlete training through data-informed decision making -- How sensor data can capture recovery: The case for heart rate variability -- How sensor data can guide intensity in resistance training procedures -- A primer on wearable technology for injury risk management in distance running -- Using wearable devices to guide sleep behaviors in athletes -- How Sensor data can guide females through training and recovery according to their menstrual cycle -- How soccer coaches can use data to better develop their players and be more successful.
Record Nr. UNINA-9910847576203321
Düking Peter  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning for Advanced Functional Materials [[electronic resource] /] / edited by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri
Machine Learning for Advanced Functional Materials [[electronic resource] /] / edited by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri
Autore Joshi Nirav
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (306 pages)
Disciplina 620.110285631
Altri autori (Persone) KushvahaVinod
MadhushriPriyanka
Soggetto topico Optics
Machine learning
Materials
Detectors
Tumor markers
Photonics
Optical engineering
Optics and Photonics
Machine Learning
Sensors and biosensors
Tumour Biomarkers
Photonics and Optical Engineering
Photonic Devices
Soggetto non controllato Artificial Intelligence
Materials
Oncology
Microwaves
Optics
Computers
Technology & Engineering
Medical
Science
ISBN 981-9903-93-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Solar Cells and Relevant Machine Learning -- Machine learning-driven gas identification in gas sensors -- Recent advances in Machine Learning for electrochemical, optical, and gas sensors -- Machine Learning in Wearable Healthcare Devices -- A Machine Learning approach in wearable Technologies -- The application of novel functional materials to machine learning -- Potential of Machine Learning Algorithms in Material Science: Predictions in design, properties and applications of novel functional materials -- Perovskite Based Materials for Photovoltaic Applications: A Machine Learning Approach -- A review of the high-performance gas sensors using machine learning -- Machine Learning For Next‐Generation Functional Materials -- Contemplation of Photocatalysis Through Machine Learning -- Discovery of Novel Photocatalysts using Machine Learning Approach -- Machine Learning In Impedance Based Sensors.
Record Nr. UNINA-9910726286403321
Joshi Nirav  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Piezoelectric Sensors [[electronic resource] /] / edited by Peter Lieberzeit
Piezoelectric Sensors [[electronic resource] /] / edited by Peter Lieberzeit
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (IX, 338 p. 60 illus., 30 illus. in color.)
Disciplina 620.19
Collana Springer Series on Chemical Sensors and Biosensors, Methods and Applications
Soggetto topico Materials
Detectors
Analytical chemistry
Biochemistry
Measurement
Measuring instruments
Sensors and biosensors
Analytical Chemistry
Biological Chemistry
Measurement Science and Instrumentation
ISBN 3-031-53785-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Quartz Crystal Microbalance-Dissipation Technique for Tracking Dynamic Biomacromolecular Interactions -- Chapter 2 FBAR devices: Fundamentals, Fabrication and Applications -- Chapter 3 Examples of Vibrating MEMS Sensing Physical Parameters for Chemical Gas Detection -- Chapter 4 QCM Strategies for Fundamental and Applied Measurements on particles and formulations -- Chapter 5 Robust QCM-based sensing and assay formats in commercialized systems -- Chapter 6 Biological, Bio-Derived, and Biomimetic Receptors in Mass-Sensitive Sensing -- Chapter 7 Applications and Recent Trends in Surface Acoustic Wave Biosensors -- Chapter 8 FBAR Gas Sensors -- Chapter 9 Resonant Silicon Microcantilevers for Particle and Gas Sensing.
Record Nr. UNINA-9910847588903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of SIE 2023 [[electronic resource] ] : 54th Annual Meeting of the Italian Electronics Society / / edited by Carmine Ciofi, Ernesto Limiti
Proceedings of SIE 2023 [[electronic resource] ] : 54th Annual Meeting of the Italian Electronics Society / / edited by Carmine Ciofi, Ernesto Limiti
Autore Ciofi Carmine
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (469 pages)
Disciplina 621.3815
Altri autori (Persone) LimitiErnesto
Collana Lecture Notes in Electrical Engineering
Soggetto topico Electronic circuits
Electronics
Materials
Detectors
Optoelectronic devices
Solid state physics
Electronic Circuits and Systems
Electronics and Microelectronics, Instrumentation
Sensors and biosensors
Optoelectronic Devices
Electronic Devices
ISBN 3-031-48711-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Binary Pattern Matching Task Performed in an EPCM-based Analog In-memory Computing Unit.-Carry-chain Based Ring Oscillator for FPGA: Design and Characterization -- Design and Analysis of a Voltage Schmitt Trigger in 4H-SIC CMOS Technology -- Nonlinear Adaptive Biasing for Low-voltage Class-AB OTAS -- An Ultra Low Voltage Physical Unclonable Function Exploiting Body-driven Feedback -- Accelerating Quantized DNN Layers on RISC-V with a STAR MAC Unit -- Design of a 1st-order Continuous-time Sigma-delta Modulator with a Digital-based Floating-inverter Integrator -- Towards Analog Neural Networks Integrated in Detectors Readout -- Printable Thermoelectric Device for Low Temperature Energy Harvesting -- Validation of Thermometer-based Techniques to Experimentally Extract the Impact of Nonlinear Thermal Effects on the Thermal Resistance of Bipolar Transistors -- Characterization of Discrete PIN Diode for TR Limiter Design at X-band -- Multibias TCAD Analysis of Trap Dynamics in GaN HEMTs -- Exploiting Millimeter-wave Radars to Enable Accurate Gesture Recognition for the Metaverse Environment -- A Ka-band Ultra-low Power GAAS MMIC LNA -- Key-components for Ultra-low DC Power Gallium Nitride Low-noise Receivers.
Record Nr. UNINA-9910768477403321
Ciofi Carmine  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the 4th International Conference on Communication, Devices and Computing [[electronic resource] ] : ICCDC 2023 / / edited by Dilip Kumar Sarkar, Pradip Kumar Sadhu, Sunandan Bhunia, Jagannath Samanta, Suman Paul
Proceedings of the 4th International Conference on Communication, Devices and Computing [[electronic resource] ] : ICCDC 2023 / / edited by Dilip Kumar Sarkar, Pradip Kumar Sadhu, Sunandan Bhunia, Jagannath Samanta, Suman Paul
Autore Sarkar Dilip Kumar
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (698 pages)
Disciplina 004
Altri autori (Persone) SadhuPradip Kumar
BhuniaSunandan
SamantaJagannath
PaulSuman
Collana Lecture Notes in Electrical Engineering
Soggetto topico Telecommunication
Solid state physics
Materials
Detectors
Cloud Computing
Mobile computing
Communications Engineering, Networks
Electronic Devices
Sensors and biosensors
Mobile Computing
ISBN 981-9927-10-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Crop Yield Prediction Based On Weather and Soil Parameters Using Regression Tree Model -- A grey wolf optimization inspired hybrid method for disease identification -- Automated Retinal Blood Vessel Segmentation Using Modified UNet Architecture -- Design of 1-DOF Integer and Fractional-OrderDesign of 1-DOF Integer and Fractional-Order PID Controllers using an Ensemble Differential Evolution for a Magnetic Levitation System -- Substrate integrated waveguide H-plane horn MIMO antenna design for mmW applications -- BSVM: A BERT based Support Vector Machinefor Hindi Hostile Content Detection -- Residual Convolutional Neural 1 Network Models for COVID-19 Detection from Chest X-ray: A Comparative Study -- Prediction of Client Term Deposit Subscription Using Machine Learning -- Real Estate Price Prediction using Machine Learning -- A comparative study to detect cervical dysplasia by using Pap smear images -- Design of a Cost-Effective Remote Health Monitoring System Using IoT -- Current exploration in microfluidics based point-of-care biosensor applications: A review -- A review on memristor based reactance-less relaxtion oscillator -- Optimal Control and Voltage Sag Compensation in a PV/FC Integrated Microgrid Through Biography Based Optimization Technique -- Performance Comparisons of MPEDE-based Integer and Fractional-Order PID Controllers for a Cruise Control System.
Record Nr. UNINA-9910736011803321
Sarkar Dilip Kumar  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Silicon-Based High-Sensitivity Broadband Receiver [[electronic resource] /] / by Xiaojun Bi
Silicon-Based High-Sensitivity Broadband Receiver [[electronic resource] /] / by Xiaojun Bi
Autore Bi Xiaojun
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (186 pages)
Disciplina 621.3815
Soggetto topico Electronic circuits
Solid state physics
Optoelectronic devices
Materials
Detectors
Electronic Circuits and Systems
Electronic Devices
Optoelectronic Devices
Sensors and biosensors
ISBN 981-9708-81-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Background of High-Sensitivity Receiver -- Chapter 2 Silicon Device Limitations -- Chapter 3 High-Sensitivity Radiometer Architecture -- Chapter 4 High Sensitivity W-band Radiometer -- Chapter 5 Interstage Reflectionless Radiometer -- Chapter 6 A Dual-band Radiometer Utilizing a Distributed Active Hot- and Cold- load -- Chapter 7 High Sensitivity Optical Receiver Architecture -- Chapter 8 Ultra-Large Dynamic Range CMOS Transimpedance Amplifier -- Chapter 9 High Sensitivity and Dynamic-Range 25 GBaud Silicon Receiver -- Chapter 10 Summary and Conclusions.
Record Nr. UNINA-9910845080203321
Bi Xiaojun  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui