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检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8045 条记录，以下是11-20 订阅

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2025 5th National and the 1st international conference on Applied Research in Electrical Engineering, AREE 2025

2025 5th National and the 1st International Conference on Ap...

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5th National and the 1st international conference on Applied Research in Electrical Engineering, AREE 2025

ISBN: (纸本)9798350377170

the proceedings contain 33 papers. the topics discussed include: design and simulation of a bioimpedance sensor for measuring the electrical properties of blood in the hemodialysis process;exploring novel applications of electrical bioimpedance spectroscopy in orthopedic fracture healing assessment: modeling study;a comprehensive review on the applications of high-entropy alloys in electronics and energy industries;short-term load forecasting using multilayer neural networks: a residential complex case study;robust funnel based control of a continuous stirred tank reactor;a consumption optimization method for smart homes utilizing backup batteries;and detection of hand movement using time, frequency and time-frequency features of the electromyogram signal in order to create a human-machine interface.

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Leaf Disease Detection and Correction 5th

Leaf Disease Detection and Correction

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5th international conference on Data Science, Machine Learning and Applications

作者： Indrani, P. Regulwar, Ganesh B. Ahmed, Md Sohel Reddy, K. Sneha Vardhaman Coll Engn Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Pests and plant conditions provide an essential part when assessing the yield as well as the quality of plants. Nowadays plant disease identification is carried out by the deep learning and image processing. Agriculture is the backbone of Indian government. We need to increase the yield in the crop as the population is increasing so the urbanization increases which cause in decrease of cultivation land. Because of the diseases that we observe frequently in plants, the crop production is being decreased. To reduce the disease in plant we need to use some pesticides which also helps to increase in production. In the recent times, deep learning is very useful in the field of image processing. How to exercise deep learning technology to study factory conditions and pests identification has come a exploration conclusion of great company to experimenters. Now we use image processing and find out the disease in plant and also provide the required pesticide suggestions which makes detection of solution for a disease easier and helps in good yield of crop for farmers.

关键词： Leaf disease detection Plant disease detection deep learning image processing convolutional neural networks TensorFlow Keras agricultural technology crop yield pesticide recommendations preprocessing model construction training testing performance evaluation

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Attention-Based Image Caption Generation 5th

Attention-Based Image Caption Generation

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5th international conference on Data Science, Machine Learning and Applications

作者： Manasa, M. Sowmya, D. Reddy, Y. Supriya Sreedevi, Pogula G Pulla Reddy Engn Coll Dept Comp Sci & Engn Data Sci Kurnool 5185007 India G Pulla Reddy Engn Coll Dept Comp Sci & Engn Kurnool 5185007 India Rajeev Gandhi Mem Coll Engn & Technol Dept Comp Sci & Engn Nandyal 518501 India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

the automatic development of meaningful, detailed textual descriptions for supplied images is a difficult task in the fields of computer vision and natural language processing. As a result, an AI-powered image caption generator can be incredibly useful for producing captions. In this study, we present a unique method for creating picture captions utilizing an attention mechanism that concentrates on pertinent areas of the image while it creates captions. On benchmark datasets, our model, which uses deep neural networks to extract picture attributes and produce captions, obtains state-of-the-art results, confirming the effectiveness of the attention mechanism in raising the caliber of the generated captions. We also offer a thorough evaluation of the performance of our approach and talk about potential future directions for enhancing image caption generation.

关键词： Image Caption Computer Vision Natural Language processing Attention Mechanism Performance

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Prediction of Diabetes Mellitus Using Improved Model of Artificial Neural Network for Early Diagnosis 5th

Prediction of Diabetes Mellitus Using Improved Model of Arti...

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5th international conference on Data Science, Machine Learning and Applications

作者： Rao, C. V. Guru Banu, Shaik Balkhis Kapila, Dhiraj SR Univ Sch CS & AI Warangal Telangana India Fatima Coll Hlth Sci Dept Physiotherapy Al Ain U Arab Emirates Lovely Profess Univ Dept Comp Sci & Engn Phagwara Punjab India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

People from all around the world are afflicted by the fatal condition known as diabetes mellitus (DM). A timely diagnosis of DM is particularly advantageous because it may be managed before the beginning of the condition. In this work, different pre-processing methods for the diagnosis of DM are discussed and contrasted. Additionally, the accuracy of several methods for data mining has been evaluated depending on missing scores, with a particular emphasis on artificial neural networks (ANN) to handle missing data utilizing z-value and MinMax procedures. IoT (Internet of things) devices are used in this research to track the patients' situations. Statistics are sent from IoT gadgets to smartphones for surveillance, and subsequently from smartphones to the web, where categorization is done. Employing a Python instrument, the simulation is carried out on the data sets that were obtained. the simulation findings demonstrate that the suggested strategy outperforms current state-of-the-art ensemble approaches in terms of accuracy pace, recall, precision, and f-value.

关键词： Artificial Neural Network Diabetes Mellitus Prediction Pre-processing and Patients

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Design of mine low power wireless movable column shrinkage sensor 5

Design of mine low power wireless movable column shrinkage s...

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5th international conference on Signal processing and Computer Science, SPCS 2024

作者： Lu, Ping China Coal Technology Engineering Group Chongqing Research Institute Chongqing400039 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

Addressing the issue of measuring the expansion and contraction of hydraulic support movable columns in coal mine working faces, this paper designs a low-power wireless movable column shrinkage sensor for mines. the sensor employs a pull rope displacement sensing probe, achieving an accuracy of ±0.2%FS and a repeatability of ±0.05%FS. this wireless movable column shrinkage sensor utilizes LoRa wireless transmission technology and WaveMesh network to facilitate long-distance ad hoc networking, offering ease of installation and use. Experimental results demonstrate that the sensor exhibits advantages such as high-precision measurement, low energy consumption, and wireless ad hoc network communication capabilities, making it suitable for widespread use in monitoring the expansion and contraction of movable columns in mine hydraulic supports. © 2025 SPIE.

关键词： Coal mines

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Research on the Enhanced Target Detection Model of Drone Aerial Images Based on AIGC 5

Research on the Enhanced Target Detection Model of Drone Aer...

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5th IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： You, Weijie School of Art and Design Fuzhou University of Foreign Languages and Trade Fujian Fuzhou China

ISBN: (纸本)9798331533694

this paper proposes an image enhancement and target detection model based on AI GC (artificial intelligence generated content). the model innovatively combines GAN and self-Attention mechanism, and effectively improves the quality of aerial images through processing steps such as super-resolution, denoising and contrast enhancement. the generator performs image enhancement through a deep convolutional network, and the self-Attention mechanism focuses on the key areas in the image to restore more details and textures. Experimental results show that compared with traditional image enhancement methods, the AIGC method shows superior performance in different scenarios. Specifically, after AIGC enhancement processing, the mean average precision (mAP) of target detection is improved by 18.5%, the recall rate is improved by 15.2%, and the F1-score reaches 90.4%. Furthermore, the results show that the proposed model is effective in complicated background and low light environment, and the PSNR and structure similarity (SSIM) are improved by 12 dB and 0.18. It is proved that the AIGC technique can greatly improve the performance of the VA V, and it is an effective way to solve the problem of the complicated scene. © 2025 IEEE.

关键词： Generative adversarial networks

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Design and implementation of the displacement sensor acquisition system using peak detection 5

Design and implementation of the displacement sensor acquisi...

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5th international conference on Signal processing and Computer Science, SPCS 2024

作者： Chen, Kui Wang, Lingwei Wang, Bin Aeronautics Computing Technique Research Institute AVIC Xi'an710068 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

On the basis of in-depth study of electronic engineering technology, this paper innovatively designed and realized a displacement signal acquisition system based on peak detection. this system solves the problem of real-time capture of displacement signals, and realizes the efficient conversion of displacement information to readable digital signal. In the process of circuit design, fully using the advantage of peak detection technology, accurately identify the peak point of the signal by real-time tracking and capturing the displacement signal, using the signal processing capability of the processor to filter and calculate the captured peak, thus realizing the digital output of LVDT sensor. this circuit has a wide range of applications. In practical applications, this circuit can quickly respond to the changes of displacement signal, and accurately output displacement information, which can provide reliable technical support for applications in related fields. © 2025 SPIE.

关键词： Integrated circuit design

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

ISBN: (纸本)9783031770777

the proceedings contain 102 papers. the special focus in this conference is on Cognitive Computing and Cyber Physical Systems. the topics include: Comparative Analysis Between Fuzzy theorem and KNN Methodology for Fault and Anomaly Detection;Production Classification in E-Commerce Based on Product Descriptions with Natural Language processing (NLP) and Machine Learning Models;defense Strategy Security Mechanism for sensor networks;an Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis;identification of Different Medicinal Plants Using Machine Learning and Image processing;Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming;performance Analysis of Word Recognition System Using Tensor Flow;A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo-Polymer Concrete;Performance Assessment of Deep Learning-Models for Kidney Tumor Segmentation using CT Images;investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization;Classification of Skin Cancer Using CNN with Transformer Layer;a Unified Approach to Smart Coconut Farming with IoT and Deep Learning for Recommendation of Pesticides and Fertilizers;classifying the Severity of Diabetic Retinopathy Using Deep Learning;Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID-19 Deceases by Using Medical Images;non-invasive Technique for Detecting Glycosuria through Image processing and Deep Learning Approaches;deep Learning Strategies for Multiclass Skin Disease Classification;AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance;Deep Learning in Cartoon Moderation: Distinguishing Child-Friendly Content with CNN Architectures;thz Wideband Metamaterial Absorber for Different Applications.

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

ISBN: (纸本)9783031770807

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

ISBN: (纸本)9783031770746

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