Archives

  • Vol. 13 No. 1 (2025)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 13, No. 1, 2025) presents interdisciplinary studies applying artificial intelligence and smart system design to real-world problems. Topics include user-centered energy metering systems, deep learning-based drone detection, and breast cancer prediction through algorithmic analysis.

  • Vol. 12 No. 4 (2024)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 12, No. 4, 2024) features research in artificial intelligence and control systems. Articles explore sentiment analysis in social media, TMJ disorder diagnosis using CNNs, drone control via model predictive control, cellular network authentication with neural networks, and a bibliometric study on AI and logistics research over the past decade.

  • Vol. 12 No. 3 (2024)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 12, No. 3, 2024) highlights applied research in image processing and deep learning. Featured studies include thermal behavior prediction in transformers, real-time face mask detection using UAVs, and classification of powerlifting movements through human pose estimation techniques.

  • Vol. 12 No. 2 (2024)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 12, No. 2, 2024) presents studies focused on intelligent systems and IoT applications. Topics include security analysis of LoRaWAN-based IoT devices, machine learning for flight delay prediction, and automated volume estimation of bulk materials using LiDAR and moving rail systems.

  • Vol. 12 No. 1 (2024)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 12, No. 1, 2024) features applied research on intelligent control and classification systems. Studies include pothole repair cost estimation using stereo vision and neural networks, classification in imbalanced biological data, fuzzy-logic UAV flight control, and comparative analysis of fuzzy vs. classical PID for BLDC motor speed regulation.

  • Vol. 11 No. 4 (2023)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 11, No. 4, 2023) explores diverse applications of intelligent systems, including indoor air quality detection using neural networks, cybersecurity in UAVs, real-time face mask detection, machine learning for construction site safety, and fuzzy inference-based control in power systems.

  • Vol. 11 No. 3 (2023)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 11, No. 3, 2023) highlights innovative research in AI-driven diagnostics, robotics, and sustainability. Topics include breast cancer detection using ResNet models, multi-robot object delivery, textile defect detection with ensemble learning, strawberry leaf disease classification, human gait recognition via deep learning, and sustainability integration into blockchain systems.

  • Vol. 11 No. 2 (2023)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 11, No. 2, 2023) presents diverse intelligent system applications including mobile robotics, adaptive control in gantry cranes, agricultural automation, AI-driven UAVs, epileptic seizure detection, GSM radiation prediction, and streamflow forecasting using ANFIS.

  • Vol. 11 No. 1 (2023)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 11, No. 1, 2023) features advancements in hybrid recommendation systems, CNN-based classification, and machine learning applications in industrial diagnostics and energy analysis. Topics include risk clustering, tea disease detection, defect prediction in steel plates, genetic algorithm-optimized neural networks, and real-time battery management on FPGA platforms.

  • Vol. 10 No. 4 (2022)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 10, No. 4, 2022) presents research in power electronics, machine learning, environmental forecasting, and cloud computing. Topics include performance analysis of interleaved DC-DC converters, speech-based gender recognition, LSTM-based air pollution prediction, and hybrid load balancing for cloud environments.

  • Vol. 10 No. 3 (2022)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 10, No. 3, 2022) includes research on radar signal processing, traffic event detection using machine learning, and hybrid lossless compression of English speech data. The studies highlight innovative uses of AI and mathematical models in signal and data analysis.

  • Vol. 10 No. 2 (2022)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 10, No. 2, 2022) features practical applications of machine learning and computational methods. Topics include a web-mobile integrated weather station, wheat hybrid classification based on color features, and a novel local deflection-based line fitting algorithm.

  • Vol. 10 No. 1 (2022)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 10, No. 1, 2022) presents research on scientometric analysis of COVID-19 publications using machine learning, prototyping of underwater ROV thrusters, Arduino-based health monitoring systems, and blockchain-driven applications for product tracking in manufacturing.

  • Vol. 9 No. 4 (2021)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 9, No. 4, 2021) explores a wide range of machine learning applications, including EEG signal classification, beetle species identification, geographical region analysis, solar irradiance forecasting, organ transport cooling systems, distracted driving detection, and epileptic seizure prediction using DWT features.

  • Vol. 9 No. 3 (2021)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 9, No. 3, 2021) presents interdisciplinary research on power electronics, digital transformation, transportation simulation, and intelligent prediction systems. Topics include EMI reduction in DC-DC converters, airport passenger flow modeling, COVID-19’s impact on cryptocurrency, ISRR design, foggy smoke detection, and fuzzy control for raw milk quality assessment.

  • Vol. 9 No. 2 (2021)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 9, No. 2, 2021) features a specialized study on agricultural decision support systems. The article presents a fuzzy logic-based evaluation model for assessing reproductive efficiency in cows.

  • Vol. 9 No. 1 (2021)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 9, No. 1, 2021) includes studies on intelligent systems for health and automation. Featured articles explore a heuristic neural network model for Parkinson’s disease detection, robust state estimation in servo systems under varying loads, and pose estimation using stacked hourglass networks with enhanced skip connections.

  • Vol. 8 No. 4 (2020)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 8, No. 4, 2020) presents a diverse collection of studies covering machine learning, image processing, biomedical diagnostics, robotics, cybersecurity, privacy-preserving systems, and control engineering. It includes research on Titanic survival analysis, lung disease classification, mobile robots for disaster rescue, EEG-based consumer preference detection, Garduino systems, COVID-19 AI use, and more.

  • Vol. 8 No. 3 (2020)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 8, No. 3, 2020) features research on image encryption, intelligent plant disease classification, artificial muscle modeling, queuing system evaluation, job ad clustering, vehicle detection, IoT control via EOG and speech, and COVID-19 diagnosis using deep learning. It also includes enhancements to Monte Carlo Localization algorithms for robotics.

  • Vol. 8 No. 2 (2020)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 8, No. 2, 2020) includes focused research on advanced UAV system modeling and medical image processing. The featured studies address modeling and control of dual dodecacopter systems and automated breast region detection using axial MRI slices.

  • Vol. 8 No. 1 (2020)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 8, No. 1, 2020) presents research on CUDA-accelerated image filtering, malware visualization, Parkinson’s diagnosis via voice analysis, and a mobile app for speech-to-text communication with the hearing-impaired. The studies reflect innovative applications in computation, healthcare, and accessibility.

  • Vol. 7 No. 4 (2019)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 7, No. 4, 2019) features multidisciplinary research on solar energy optimization, urban transport simulation, educational game development in mathematics, and finger movement recognition using EMG signals with ensemble classifiers.

  • Vol. 7 No. 3 (2019)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 7, No. 3, 2019) explores advanced applications in voice disorder classification, wavelet-based phoneme analysis, service-oriented software development, and vehicle brand recognition using deep learning techniques.

  • Vol. 7 No. 2 (2019)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 7, No. 2, 2019) features applied research in solar energy systems, brain signal analysis with neural networks and swarm intelligence, PWM technique comparisons for multicarrier systems, and heart valve thrombosis detection using support vector machines.

  • Vol. 7 No. 1 (2019)

    This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 7, No. 1, 2019) includes studies on induction motor design, wind power forecasting using ANFIS and SVR, and a comparative analysis of production line configurations in a yarn packaging facility.

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