作者: effrontery 時間: 2025-3-21 23:03 作者: 描述 時間: 2025-3-22 02:55
Normative Neo-Liberalism: Rand and Rothbard,s such as temperature, EC (electric conductivity), pH, turbidity, and TDS (total dissolved solids) for assessing the water quality. The obtained IoT sensor data is sent to the cloud server so that we can monitor the water quality in real time. We have also collected 200 satellite map data of both Se作者: BROW 時間: 2025-3-22 05:27 作者: Urologist 時間: 2025-3-22 10:08
https://doi.org/10.1007/978-3-319-98005-8nd technical problems, the currency market is purely informational and lacks inertia. As a result, traditional prediction algorithms used in software robots based on reactive control strategies have proven ineffective. This study aims to address this efficiency issue by exploring control strategies 作者: 乳白光 時間: 2025-3-22 16:55
The Celtic Element in Literatureformance. The proposed model is trained episodically on 4000 training tasks randomly generated from the images of source domain. The target domain is split into four sets, for N = 5 (5 classes randomly selected from target domain) and K = 10 (for each of the 5 classes 10 samples are selected), the a作者: 乳白光 時間: 2025-3-22 20:31
Essays and Surveys in Global Optimizationknown for its potentiality in extracting features from multiple scales while the Xception model is known for its superior performance in image classification tasks. Combining the representations learned by the two models, the joint training algorithm boosts the learning process and provides better g作者: 陳舊 時間: 2025-3-22 22:29 作者: 關(guān)節(jié)炎 時間: 2025-3-23 01:39
Aligning Incentives by Capping Bonusesraction. The simulation results show that the proposed approach provides high detection accuracy (95%) with the feature selection process on testing data as compared to other standard classifiers. This method also gives better results on training and testing data using feature selection and without 作者: Amenable 時間: 2025-3-23 07:36
,The Anti-Socialist Union, 1908–49,ough rigorous evaluation, the performance of each word embedding technique using metrics such as ROUGE (Recall-Oriented Understudy for Gisting Evaluation) was analyzed. Findings of this paper reveal that the choice of word embeddings significantly influences the summarization quality for both Hindi 作者: Conspiracy 時間: 2025-3-23 11:12
https://doi.org/10.1007/978-1-349-59074-2method that outperforms all other applicable techniques with an accuracy of 99.4152%. Another important contribution is hyper-parameter tuning which selects the best parameters for the above algorithms. Finally, the performance of all applying algorithms for this dataset is compared.作者: somnambulism 時間: 2025-3-23 14:11
Michael J. Lewis,Charles W. Bamforthrate realistic infected leaf images of Grape for effective data augmentation. By combining the original dataset with these created images, VGG16 deep-learning model, and through extensive analysis, it has been demonstrated that the method greatly improves plant disease identification accuracy. With 作者: Uncultured 時間: 2025-3-23 18:06 作者: 構(gòu)想 時間: 2025-3-24 01:34
A Survey on Thyroid Nodule Detection and Classification, an overview of current research on TC detection based on US images using ML algorithms. It also presents advancements in TC detection using DL algorithms. The information present in this paper is taken from published work of researchers in thyroid cancer with references.作者: Recess 時間: 2025-3-24 05:56 作者: mutineer 時間: 2025-3-24 07:13
Machine Learning-Powered Cloud-Based Text Summarization,engthen text summarization applications by integrating cloud services like cloud-based machine learning platforms and natural language processing APIs. The developer looks at case studies and practical examples that show how cloud computing and machine learning may be used to effectively conduct tex作者: 向外供接觸 時間: 2025-3-24 11:19
Managing Operations in Chaotic Environments with Evolutionary Software Agents,nd technical problems, the currency market is purely informational and lacks inertia. As a result, traditional prediction algorithms used in software robots based on reactive control strategies have proven ineffective. This study aims to address this efficiency issue by exploring control strategies 作者: rectocele 時間: 2025-3-24 16:57
Image Classification Using Few Shot Learning,formance. The proposed model is trained episodically on 4000 training tasks randomly generated from the images of source domain. The target domain is split into four sets, for N = 5 (5 classes randomly selected from target domain) and K = 10 (for each of the 5 classes 10 samples are selected), the a作者: giggle 時間: 2025-3-24 21:08
,Enhanced Brain Tumor Classification with?Inception V3 and?Xception Dual-Channel CNN,known for its potentiality in extracting features from multiple scales while the Xception model is known for its superior performance in image classification tasks. Combining the representations learned by the two models, the joint training algorithm boosts the learning process and provides better g作者: MIR 時間: 2025-3-25 00:01 作者: DRILL 時間: 2025-3-25 05:13
Financial Statement Fraud Detection Using Optimized Deep Neural Network,raction. The simulation results show that the proposed approach provides high detection accuracy (95%) with the feature selection process on testing data as compared to other standard classifiers. This method also gives better results on training and testing data using feature selection and without 作者: 潛伏期 時間: 2025-3-25 10:22 作者: 連接 時間: 2025-3-25 13:31 作者: ingestion 時間: 2025-3-25 18:24
Identification of Plant Leaf Disease Using Synthetic Data Augmentation ProGAN to Improve the Perforrate realistic infected leaf images of Grape for effective data augmentation. By combining the original dataset with these created images, VGG16 deep-learning model, and through extensive analysis, it has been demonstrated that the method greatly improves plant disease identification accuracy. With 作者: Banister 時間: 2025-3-25 21:42 作者: Inscrutable 時間: 2025-3-26 03:55
,XGBoost Tuned by?Hybridized SCA Metaheuristics for?Intrusion Detection in?Healthcare 4.0 IoT Systemsystems are highly valuable in domains like healthcare, where prompt actions can significantly impact outcomes. However, despite the widespread adoption of IoT, a crucial obstacle hinders its broader integration. For IoT to support sustainable healthcare, it must deliver well-organized healthcare se作者: HEW 時間: 2025-3-26 05:23 作者: 起皺紋 時間: 2025-3-26 09:25
,IoT and?Satellite Image Driven Water Quality Monitoring and?Assessment Method in?Coastal Region,n, climatic changes, pollution, high financial demands, and excessive salt extraction from the sea, safe water is becoming threat to get from natural resource. Some unambiguous and comprehensive coordination of planning and sustainable action must take to ensure access to freshwater for urban and ru作者: 他去就結(jié)束 時間: 2025-3-26 15:50 作者: 鼓掌 時間: 2025-3-26 18:23
Model Accuracy Test for Early Stage of Diabetes Risk Prediction with Data Science Approach,nology that is currently being preferred to perform early-stage disease detection. Although various machine learning models are available, the most accurate model for forecasting the risk of developing early-stage diabetes is still unknown. This research study compares 14 machine learning models—neu作者: 子女 時間: 2025-3-26 22:19
Managing Operations in Chaotic Environments with Evolutionary Software Agents,dynamics, handling chemical and technological processes, generating signals in radio engineering, and managing assets in capital markets. The challenge lies in the limited predictability of deterministic chaos models, which results in additional uncertainty arising from random observations, as expla作者: drusen 時間: 2025-3-27 03:54 作者: prodrome 時間: 2025-3-27 07:33
,Enhanced Brain Tumor Classification with?Inception V3 and?Xception Dual-Channel CNN,According to the scientific community, a brain tumor is an unusual growth in brain cells, some of which may develop into cancer. Manually diagnosing the severity of brain tumors is not only a challenge but also error-prone. To mitigate the issues with manual diagnosis, deep learning can be proposed 作者: 過剩 時間: 2025-3-27 09:46
Segmentation of Multiple Sclerosis Using Autoencoder and Classifier,cal dysfunction. Accurately identifying the degree of damage to the brain matter is critical for prognosis. Progression of MS must be closely monitored requiring regular assessment of symptoms through diagnostic methods like magnetic resonance imaging (MRI). This process is quite taxing and time-con作者: 粘土 時間: 2025-3-27 16:55 作者: intuition 時間: 2025-3-27 19:27 作者: 思考才皺眉 時間: 2025-3-27 23:47 作者: cardiopulmonary 時間: 2025-3-28 03:24
A More Effective Ensemble ML Method for Detecting Breast Cancer,come the world’s most common trigger of death by 2020, having been identified among 7.8 million women over the 5?years preceding that. ML algorithms are being used extensively in the medical field to forecast certain diseases sooner. A breast cancer dataset obtained from Kaggle is used in this study作者: OFF 時間: 2025-3-28 09:52
Identification of Plant Leaf Disease Using Synthetic Data Augmentation ProGAN to Improve the Perfor of several years. Existing approaches still face challenges in achieving high accuracy and generalization. One key limitation lies in the requisite for a significant amount of labeled data to properly train deep learning models. Moreover, imbalanced and limited datasets often lead to poor predictio作者: 截斷 時間: 2025-3-28 10:58
,A Comparative Study of?Machine Learning Algorithms for?Enhanced Credit Default Prediction,This research study presents a comparative analysis of various machine learning algorithms, which are used for forecasting the likelihood of credit default. Six diverse algorithms—Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Logistic Regression, Decision Tree (DT), Gaussian Naive Bayes, 作者: Folklore 時間: 2025-3-28 14:42
CRDP: Chronic Renal Disease Prediction and Evaluation with Reduced Prominent Features,reasons, but if certain symptoms are ignored and not treated on time, then it may lead to persistent malfunctioning leading to Chronic Renal Disease (CRD). This condition expedites kidney failure and, in turn, death if not attended appropriately. This work depicts the appropriate, relevant, and corr作者: 軌道 時間: 2025-3-28 21:55
Comparative Examination of Credit Card Fraud Detection Using Machine Learning Algorithms,as a morally reprehensible criminal act. Both individuals and financial organizations experience significant financial losses annually, totaling billions of dollars. This research study intends to utilize machine learning approaches to detect the instances of fraudulent credit card transactions. The作者: Project 時間: 2025-3-29 01:06
EEG Features Selection by Using Tasmanian Devil Optimization Algorithm for Stress Detection, on machine learning and deep learning have been presented in the past. However, the performance of the stress detection system is challenging due to inadequate training data, poor feature variability, poor feature selection, and the intricacy of the deep learning framework. This paper provides the 作者: Foreshadow 時間: 2025-3-29 05:04 作者: Heart-Rate 時間: 2025-3-29 08:48 作者: 溫室 時間: 2025-3-29 12:30
https://doi.org/10.1007/978-3-531-91443-5 systems, necessitating the timely detection and remediation of security issues. This study addresses security challenges directly by employing an XGBoost model, tuned by a hybridized sine cosine (SCA) metaheuristics algorithm, to identify security vulnerabilities in applied IoT appliances in healthcare 4.0.作者: 確定無疑 時間: 2025-3-29 15:47
https://doi.org/10.1007/978-1-349-12383-4 to capture long-term relationships in the text because of the dilated convolution design, which is critical for properly recognizing the fake news. The experimental findings show that the proposed strategy is capable of achieving a high degree of accuracy when instances of fake news are identified.作者: 甜食 時間: 2025-3-29 21:59
Civic Market and Sortition Democracyon and prediction of CRD. The CRDP algorithm is implemented, and the results are predominantly used in logistic regression and K-nearest neighbor classification techniques to enhance and improve their prediction accuracy on CRD.作者: spinal-stenosis 時間: 2025-3-30 03:46 作者: ENDOW 時間: 2025-3-30 04:19 作者: 內(nèi)向者 時間: 2025-3-30 11:15
Dilated Long Short-Term Memory Network Augmentation for Precise Fake News Classification, to capture long-term relationships in the text because of the dilated convolution design, which is critical for properly recognizing the fake news. The experimental findings show that the proposed strategy is capable of achieving a high degree of accuracy when instances of fake news are identified.作者: 諂媚于性 時間: 2025-3-30 16:09
CRDP: Chronic Renal Disease Prediction and Evaluation with Reduced Prominent Features,on and prediction of CRD. The CRDP algorithm is implemented, and the results are predominantly used in logistic regression and K-nearest neighbor classification techniques to enhance and improve their prediction accuracy on CRD.作者: DEVIL 時間: 2025-3-30 19:01 作者: Foreshadow 時間: 2025-3-30 22:46
Conference proceedings 2024imization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory..作者: 微不足道 時間: 2025-3-31 03:47
Mark H. Karwan,Jaap Spronk,Jyrki Walleniusest-suited algorithm for diabetes risk prediction. From the obtained results, it is evident that the random forest with extra trees classifier has delivered the best accuracy for predicting diabetes with an accuracy rate of 99.04%. With an accuracy value of 97.12%, the gradient boosting and bagging classifier models produced the next-best result.作者: transdermal 時間: 2025-3-31 07:35
Colin C. Graham,O. Carruth McGehee achieved higher accuracy in predicting the outcomes when compared to other machine learning methods, with an accuracy of 92 and 94%, respectively. This study also highlights the importance of feature selection and prediction boosting in order to optimize the credit default prediction rates.作者: companion 時間: 2025-3-31 12:17 作者: milligram 時間: 2025-3-31 14:02
Model Accuracy Test for Early Stage of Diabetes Risk Prediction with Data Science Approach,est-suited algorithm for diabetes risk prediction. From the obtained results, it is evident that the random forest with extra trees classifier has delivered the best accuracy for predicting diabetes with an accuracy rate of 99.04%. With an accuracy value of 97.12%, the gradient boosting and bagging classifier models produced the next-best result.作者: 先驅(qū) 時間: 2025-3-31 18:02
,A Comparative Study of?Machine Learning Algorithms for?Enhanced Credit Default Prediction, achieved higher accuracy in predicting the outcomes when compared to other machine learning methods, with an accuracy of 92 and 94%, respectively. This study also highlights the importance of feature selection and prediction boosting in order to optimize the credit default prediction rates.作者: 組成 時間: 2025-3-31 23:24
,CigaretteCNN: A Convolutional Neural Network for?Detecting Cigarette Smoking Activity,s demonstrate the effectiveness of the proposed CNN model for detecting smoking activity. The model achieved 89.51% accuracy on the test set which measures the model’s ability to accurately distinguish between smoking and non-smoking activities.作者: 滲透 時間: 2025-4-1 05:38
2524-7565 a.Serves as a reference for researchers and practitioners in.This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 作者: 自愛 時間: 2025-4-1 09:19
https://doi.org/10.1007/978-3-531-91443-5systems are highly valuable in domains like healthcare, where prompt actions can significantly impact outcomes. However, despite the widespread adoption of IoT, a crucial obstacle hinders its broader integration. For IoT to support sustainable healthcare, it must deliver well-organized healthcare se作者: PLUMP 時間: 2025-4-1 11:57
