Search Results

Image Dataset for Neural Network Performance Estimation with Application to Maritime Ports.

• Authors : Petković, Miro; Vujović, Igor; Lušić, Zvonimir

Subjects: TRAFFIC density; COMPUTER vision; OCEAN wavesSPLIT (Croatia)

• Source: Journal of Marine Science & Engineering; Mar2023, Vol. 11 Issue 3, p578, 14p

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Research from University of Split Yields New Study Findings on Operations Research (Behavioural antecedents of Bitcoin trading volume: A panel Granger causality test).

Subjects: GRANGER causality test; OPERATIONS research; BITCOIN

• Source: Medical Letter on the CDC & FDA; 7/28/2023, p811-811, 1p

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Findings from University of Split School of Medicine in Antimicrobials Reported (Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence).

Subjects: DRUG resistance in microorganisms; MACHINE learning; ANTI-infective agents

• Source: TB & Outbreaks Week; 5/17/2024, p915-915, 1p

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A Comparison of Machine Learning-Based and Conventional Technologies for Video Compression.

• Authors : Mochurad, Lesia

Subjects: CONVOLUTIONAL neural networks; VIDEO compression; MACHINE learning

• Source: Technologies (2227-7080); Apr2024, Vol. 12 Issue 4, p52, 21p

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Learning-Based Road Link Quality Estimation for Intelligent Alert-Message Dissemination.

• Authors : Chakroun, Raoua; Villemur, Thierry

Subjects: VEHICULAR ad hoc networks; SUPERVISED learning; TELECOMMUNICATION systems

• Source: Journal of Communications Software & Systems; Mar2024, Vol. 20 Issue 1, p47-57, 11p

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Indoor Localization of Industrial IoT Devices and Applications Based on Recurrent Neural Network.

• Authors : Marasovic, Ivan; Majić, Goran; Škalič, Ivan

Subjects: RECURRENT neural networks; INTERNET of things; TELECOMMUNICATION systems

• Source: Journal of Communications Software & Systems; Mar2024, Vol. 20 Issue 1, p137-145, 9p

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Computationally Efficient Wideband Spectrum Sensing through Cumulative Distribution Function and Machine Learnin.

• Authors : Nikonowicz, Jakub; Jessa, Mieczysław; Matuszewski, IEEE,,Łukasz

Subjects: ADDITIVE white Gaussian noise; FAST Fourier transforms; MACHINE theory

• Source: Journal of Communications Software & Systems; Mar2024, Vol. 20 Issue 1, p38-46, 9p

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Potato disease prediction using machine learning, image processing and IoT – a systematic literature survey.

• Authors : Gupta, Ayushi; Chug, Anuradha; Singh, Amit Prakash

Subjects: CONVOLUTIONAL neural networks; IMAGE processing; MACHINE learning

• Source: Journal of Crop Improvement; Mar2024, Vol. 38 Issue 2, p95-137, 43p

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Blockchain application in P2P energy markets: social and legal aspects.

• Authors : Borges, Cruz E. (AUTHOR); Kapassa, Evgenia (AUTHOR); Touloupou, Marios (AUTHOR)

Subjects: ENERGY industries; BLOCKCHAINS; SOCIAL marketing

• Source: Connection Science. Dec2022, Vol. 34 Issue 1, p1066-1088. 23p.

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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches.

• Authors : Ramli, Albara Ah; Liu, Xin; Berndt, Kelly

Subjects: DEEP learning; DUCHENNE muscular dystrophy; RUNNING speed

• Source: Sensors (14248220); Feb2024, Vol. 24 Issue 4, p1123, 23p

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Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions.

• Authors : Ożadowicz, Andrzej

Subjects: INTELLIGENT buildings; ARTIFICIAL intelligence; INTERNET of things

• Source: Computers (2073-431X); Feb2024, Vol. 13 Issue 2, p45, 32p

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A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness.

• Authors : Elkhodr, Mahmoud; Khan, Samiya; Gide, Ergun

Subjects: DATA management; ARTIFICIAL intelligence; INTERNET of things

• Source: Future Internet; Jan2024, Vol. 16 Issue 1, p22, 31p

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Blockchain-Based Multistage Continuous Authentication for Smart Devices.

• Authors : Yao, Yue; Zhang, Xiaomei; Hu, Haomin

Subjects: SMART devices; TWO-way communication; BLOCKCHAINS

• Source: Applied Sciences (2076-3417); Dec2023, Vol. 13 Issue 23, p12641, 26p

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Research from University of Split School of Medicine Yields New Data on Breast Cancer (Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment).

Subjects: MACHINE learning; LYMPH node cancer; NEOADJUVANT chemotherapy

• Source: Women's Health Weekly; 2/7/2023, p1264-1264, 1p

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One-Dimensional Convolutional Wasserstein Generative Adversarial Network Based Intrusion Detection Method for Industrial Control Systems.

• Authors : Cai, Zengyu; Du, Hongyu; Wang, Haoqi

Subjects: GENERATIVE adversarial networks; DEEP learning; INDUSTRIAL controls manufacturing

• Source: Electronics (2079-9292); Nov2023, Vol. 12 Issue 22, p4653, 17p

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Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers.

• Authors : Baroudi, Hana; Chen, Xinru; Cao, Wenhua

Subjects: CONE beam computed tomography; CARDIAC pacemakers; GENERATIVE adversarial networks

• Source: Journal of Imaging; Nov2023, Vol. 9 Issue 11, p245, 11p

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A Knowledge Graph Framework for Dementia Research Data.

• Authors : Timón-Reina, Santiago; Rincón, Mariano; Martínez-Tomás, Rafael

Subjects: KNOWLEDGE graphs; ALZHEIMER'S disease; DATA integration

• Source: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10497, 23p

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Strain Gauge Neural Network-Based Estimation as an Alternative for Force and Torque Sensor Measurements in Robot Manipulators.

• Authors : Kružić, Stanko; Musić, Josip; Papić, Vladan

Subjects: STRAIN gages; SENSOR networks; MANIPULATORS (Machinery)

• Source: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10217, 15p

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BGP Dataset-Based Malicious User Activity Detection Using Machine Learning.

• Authors : Park, Hansol; Kim, Kookjin; Shin, Dongil

Subjects: MACHINE learning; BGP (Computer network protocol); RECEIVER operating characteristic curves

• Source: Information (2078-2489); Sep2023, Vol. 14 Issue 9, p501, 19p

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Soft Semi-Supervised Deep Learning-Based Clustering.

• Authors : AlZuhair, Mona Suliman; Ben Ismail, Mohamed Maher; Bchir, Ouiem

Subjects: SUPERVISED learning; SOFT sets; MACHINE learning

• Source: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 17, p9673, 18p

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An Incentive Mechanism Model for Crowdsensing with Distributed Storage in Smart Cities.

• Authors : Jiaxing Wang; Lanlan Rui; Yang Yang

Subjects: CROWDSENSING; INCENTIVE (Psychology); SMART cities

• Source: Computers, Materials & Continua; 2023, Vol. 76 Issue 2, p2355-2384, 30p

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A Comprehensive Survey on Knowledge-Defined Networking.

• Authors : Wijesekara, Patikiri Arachchige Don Shehan Nilmantha; Gunawardena, Subodha

Subjects: MACHINE learning; SOFTWARE-defined networking; MODEL airplanes

• Source: Telecom; Sep2023, Vol. 4 Issue 3, p477-596, 120p

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Blockchain-Based Microgrid for Safe and Reliable Power Generation and Distribution: A Case Study of Saudi Arabia.

• Authors : Khubrani, Mousa Mohammed; Alam, Shadab

Subjects: MICROGRIDS; SMART power grids; ENERGY industriesSAUDI Arabia

• Source: Energies (19961073); Aug2023, Vol. 16 Issue 16, p5963, 34p

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Artificial intelligence in forensic medicine and forensic dentistry.

• Authors : Vodanović, Marin; Subašić, Marko; Milošević, Denis

Subjects: FORENSIC dentistry; FORENSIC medicine; ARTIFICIAL intelligence

• Source: Journal of Forensic Odonto-Stomatology; Aug2023, Vol. 41 Issue 2, p30-41, 12p

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Delay-Tolerant Distributed Algorithms for Decision-Making in Vehicular Networks.

• Authors : Chen, Zhiwen; Hao, Qiong; Huang, Hong

Subjects: MACHINE learning; DISTRIBUTED algorithms; TRAFFIC congestion

• Source: Asia-Pacific Journal of Operational Research; Aug2023, Vol. 40 Issue 4, p1-22, 22p

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Neural-Network-Based Equalization and Detection for Underwater Acoustic Orthogonal Frequency Division Multiplexing Communications: A Low-Complexity Approach.

• Authors : Zhou, Mingzhang; Wang, Junfeng; Feng, Xiao

Subjects: ORTHOGONAL frequency division multiplexing; STRAITS; MACHINE learning

• Source: Remote Sensing; Aug2023, Vol. 15 Issue 15, p3796, 19p

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LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning.

• Authors : Farhad, Arshad; Pyun, Jae-Young

Subjects: MACHINE learning; WIDE area networks; MACHINE performance

• Source: Sensors (14248220); Aug2023, Vol. 23 Issue 15, p6851, 36p

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SeniorSentry: Correlation and Mutual Information-Based Contextual Anomaly Detection for Aging in Place.

• Authors : Nandikotkur, Achyuth; Traore, Issa; Mamun, Mohammad

Subjects: ANOMALY detection (Computer security); INTRUSION detection systems (Computer security); SUPERVISED learning

• Source: Sensors (14248220); Aug2023, Vol. 23 Issue 15, p6752, 20p

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A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking.

• Authors : Magsi, Arif Hussain; Yovita, Leanna Vidya; Ghulam, Ali

• Source: Sustainability (2071-1050); Jul2023, Vol. 15 Issue 14, p10931, 18p

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Defense Mechanism to Generate IPS Rules from Honeypot Logs and Its Application to Log4Shell Attack and Its Variants.

• Authors : Yamamoto, Yudai; Yamaguchi, Shingo

Subjects: MACHINE learning; ACQUISITION of data

• Source: Electronics (2079-9292); Jul2023, Vol. 12 Issue 14, p3177, 22p

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Mirai Botnet Attack Detection in Low-Scale Network Traffic.

• Authors : GÜVEN, Ebu Yusuf; GÜRKA¸S-AYDIN, Zeynep

Subjects: BOTNETS; ARTIFICIAL intelligence; COMPUTER performance

• Source: Intelligent Automation & Soft Computing; 2023, Vol. 37 Issue 1, p419-437, 19p

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Artificial intelligence in magnetic resonance imaging of the knee.

• Authors : Kujundžić, Petra; Matijaš, Tatjana

Subjects: RADIOLOGY; ARTIFICIAL intelligence; MAGNETIC resonance imaging

• Source: Radiology News Journal / Radiološki Vjesnik; 2023, Vol. 47 Issue 2, p37-45, 9p

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Measurement of the top quark pole mass using tt¯+jet events in the dilepton final state in proton-proton collisions at s = 13 TeV.

• Authors : Tumasyan, A.; Adam, W.; Andrejkovic, J. W.

Subjects: TOP quarks; PROTON-proton interactions; DISTRIBUTION (Probability theory)

• Source: Journal of High Energy Physics; Jul2023, Vol. 2023 Issue 7, p1-57, 57p

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Identification of Indoor Radio Environment Properties from Channel Impulse Response with Machine Learning Models.

• Authors : Kocevska, Teodora; Javornik, Tomaž; Švigelj, Aleš

Subjects: MACHINE learning; IMPULSE response; WIRELESS communications

• Source: Electronics (2079-9292); Jun2023, Vol. 12 Issue 12, p2746, 21p

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Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database.

• Authors : Bujak, Damjan; Bogovac, Tonko; Carević, Dalibor

Subjects: DATABASES; MACHINE learning; WIND wavesUNITED States. National Oceanic & Atmospheric Administration

• Source: Wind (2674-032X); Jun2023, Vol. 3 Issue 2, p151-169, 19p

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A Novel Convolutional Neural Network Algorithm for Histopathological Lung Cancer Detection.

• Authors : Faria, Nelson; Campelos, Sofia; Carvalho, Vítor

Subjects: CONVOLUTIONAL neural networks; LUNGS; ARTIFICIAL neural networks

• Source: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 11, p6571, 20p

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A Survey on SDN and SDCN Traffic Measurement: Existing Approaches and Research Challenges.

• Authors : Islam, MD Samiul; Al-Mukhtar, Mohammed; Khan, MD Rahat Kader

Subjects: TRAFFIC flow measurement; SOFTWARE-defined networking; TRAFFIC monitoring

• Source: Eng; Jun2023, Vol. 4 Issue 2, p1071-1115, 45p

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The Methods of Fall Detection: A Literature Review.

• Authors : Newaz, Nishat Tasnim; Hanada, Eisuke

Subjects: LITERATURE reviews; SYSTEMS design

• Source: Sensors (14248220); Jun2023, Vol. 23 Issue 11, p5212, 15p

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MADP-IIME: malware attack detection protocol in IoT-enabled industrial multimedia environment using machine learning approach.

• Authors : Pundir, Sumit; Obaidat, Mohammad S.; Wazid, Mohammad

Subjects: MACHINE learning; MALWARE; ARTIFICIAL neural networks

• Source: Multimedia Systems; Jun2023, Vol. 29 Issue 3, p1785-1797, 13p

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Utilizing Image Processing and the YOLOv3 Network for Real-Time Traffic Light Control.

• Authors : Segura Altamirano, S. Francisco; Castro Cárdenas, Diana M.; Sifuentes Montes, Ayax M.

Subjects: TRAFFIC engineering; IMAGE processing; TRAFFIC signal control systems

• Source: Journal of Engineering (2314-4912); 5/25/2023, p1-9, 9p

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Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms.

• Authors : Dinmohammadi, Fateme; Han, Yuxuan; Shafiee, Mahmood

Subjects: ENERGY consumption of buildings; MACHINE learning; HOME energy use

• Source: Energies (19961073); May2023, Vol. 16 Issue 9, p3748, 23p

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A Comprehensive Study of Machine Learning Application to Transmission Quality Assessment in Optical Networks.

• Authors : Kozdrowski, Stanisław; Paziewski, Piotr; Cichosz, Paweł

Subjects: MACHINE learning; RANDOM forest algorithms; LIGHT transmission

• Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 8, p4657, 16p

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SmartWatcher©: A Solution to Automatically Assess the Smartness of Buildings.

• Authors : Ye, Yu; Ramallo-González, Alfonso P.; Tomat, Valentina

Subjects: NATURAL language processingEUROPEAN Union

• Source: Computers (2073-431X); Apr2023, Vol. 12 Issue 4, p76, 17p

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Machine Learning and AI Technologies for Smart Wearables.

• Authors : Seng, Kah Phooi; Ang, Li-Minn; Peter, Eno

Subjects: MACHINE learning; ARTIFICIAL intelligence; EDGE computing

• Source: Electronics (2079-9292); Apr2023, Vol. 12 Issue 7, p1509, 21p

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Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.

• Authors : Belay, Mohammed Ayalew; Blakseth, Sindre Stenen; Rasheed, Adil

Subjects: ANOMALY detection (Computer security); DEEP learning; TIME series analysis

• Source: Sensors (14248220); Mar2023, Vol. 23 Issue 5, p2844, 24p

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Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance.

• Authors : Martins, Alexandre; Fonseca, Inácio; Farinha, José Torres

Subjects: CONDITION-based maintenance; HIDDEN Markov models; MACHINE learning

• Source: Sensors (14248220); Mar2023, Vol. 23 Issue 5, p2402, 22p

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Hybrid ML-Based Technique to Classify Malicious Activity Using Log Data of Systems.

• Authors : Mostafa, Almetwally M.; Altheneyan, Alaa; Alnuaim, Abeer

Subjects: MACHINE learning; DATA logging; TECHNOLOGICAL innovations

• Source: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2707, 20p

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The Application and Research of New Digital Technology in Marine Aquaculture.

• Authors : Zhang, Hanwen; Gui, Fukun

Subjects: MARICULTURE; MARINE engineering; DIGITAL technology

• Source: Journal of Marine Science & Engineering; Feb2023, Vol. 11 Issue 2, p401, 19p

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Volumetric Properties and Stiffness Modulus of Asphalt Concrete Mixtures Made with Selected Quarry Fillers: Experimental Investigation and Machine Learning Prediction.

• Authors : Rondinella, Fabio; Daneluz, Fabiola; Vacková, Pavla

Subjects: ASPHALT concrete; ASPHALT; MACHINE learning

• Source: Materials (1996-1944); Feb2023, Vol. 16 Issue 3, p1017, 18p

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Machine learning based renewable energy generation and energy consumption forecasting.

• Authors : Talwariya, Akash; Singh, Pushpendra; Jobanputra, Jalpa H.

Subjects: ENERGY consumption forecasting; RENEWABLE energy sources; WIND power

• Source: Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2023, Vol. 45 Issue 2, p3266-3278, 13p

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