標(biāo)題: Titlebook: Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4; Kohei Arai Conference proceedings 2024 The Editor(s) (if applicabl [打印本頁(yè)] 作者: urinary-tract 時(shí)間: 2025-3-21 18:46
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4影響因子(影響力)
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4被引頻次
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4被引頻次學(xué)科排名
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4年度引用
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4年度引用學(xué)科排名
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4讀者反饋
書(shū)目名稱(chēng)Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4讀者反饋學(xué)科排名
作者: Flustered 時(shí)間: 2025-3-21 21:31 作者: 教唆 時(shí)間: 2025-3-22 02:08
Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4978-3-031-73128-0Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: 民間傳說(shuō) 時(shí)間: 2025-3-22 05:24 作者: 放氣 時(shí)間: 2025-3-22 09:04 作者: Talkative 時(shí)間: 2025-3-22 12:59 作者: BLUSH 時(shí)間: 2025-3-22 18:14 作者: 整理 時(shí)間: 2025-3-23 01:00
Deep Learning-Based Anomaly Detection in TLS Encrypted Traffic,o detect malicious activities using extracted flow metadata to train three machine learning models: machine-learning model. It further deployed this set of features as input to an autoencoder, leveraging the construction error of the autoencoder for anomaly detection.作者: 愛(ài)花花兒憤怒 時(shí)間: 2025-3-23 02:52 作者: 名次后綴 時(shí)間: 2025-3-23 07:00 作者: 價(jià)值在貶值 時(shí)間: 2025-3-23 12:31
A Framework for TrustZone Encoding/Decoding for QR Buyer-Presented and VCC Offline Generated Payments,amework for an integrated system that can provide security well beyond exciting tokenization and VCC systems and enables a peer-to-peer transactions that encourage developers’ free access with open-source implementations and remove middleman threats or controls.作者: 討好美人 時(shí)間: 2025-3-23 16:10 作者: 笨拙的你 時(shí)間: 2025-3-23 21:26
,A Novel Approach for?Continual and?Federated Network Anomaly Detection, Force and SQL Injection to further evaluate the capability of the detection module to distinguish normal and anomalous traffic. Throughout the different validation scenarios, the detection module achieved an f1-score of 93.80% for one of the targeted components and a percentage of normal flows correctly identified of 99,13%.作者: 溫室 時(shí)間: 2025-3-23 22:47
Performance Evaluation of Response Based Cryptography Versus Fuzzy Extractors Based on Error Correction Codes,rtened random number to rectify more bits in the key. Consequently, RBC emerges as a highly secure approach for rectifying PUF-based keys, notably outperforming Fuzzy Extractors at significantly low noise levels with a latency superiority of an order of 10..作者: 下垂 時(shí)間: 2025-3-24 04:29
,A Novel Approach to?Optimize Response-Based Cryptography for?Secure Data Transmission,keys within milliseconds. In the rare cases of failure to recover the keys, repeating the challenge-response-pair mechanism of the?PUF proves to be a faster and effective alternative than persisting in?a lengthy search.作者: LARK 時(shí)間: 2025-3-24 09:33
,Strengthening Industrial IoT Security with?Integrated PUF Token,CRYSTAL-KYBER, our protocol presents a comprehensive framework for robust IoT device security, proficiently balancing efficiency, reliability, and cryptographic strength in safeguarding sensitive data transmission.作者: 語(yǔ)言學(xué) 時(shí)間: 2025-3-24 14:37
Manuel A. Barroyeta,Anthony J. Toapanta,Franklin M. Silva,Jessica S. Ortiz,Cesar A. Naranjo,Víctor H. Andaluzimprovement. Extensive experiments on public benchmark datasets demonstrate that our proposed module can effectively enhance the recognition performance. Our method achieves better recognition performance than prior arts on both CROHME and HME100K datasets.作者: 主講人 時(shí)間: 2025-3-24 16:40 作者: GOUGE 時(shí)間: 2025-3-24 21:38 作者: floodgate 時(shí)間: 2025-3-25 01:52 作者: 漫步 時(shí)間: 2025-3-25 03:49 作者: 閃光你我 時(shí)間: 2025-3-25 08:38 作者: 松雞 時(shí)間: 2025-3-25 14:11 作者: enhance 時(shí)間: 2025-3-25 17:24 作者: Harness 時(shí)間: 2025-3-25 21:29 作者: 精致 時(shí)間: 2025-3-26 03:42 作者: lobster 時(shí)間: 2025-3-26 08:14 作者: 賭博 時(shí)間: 2025-3-26 08:48
Ammar S. Salman,Wenliang Duan learning called the biased coin flip process—contrived for use in the context of Bayesian topic modeling. We prove mathematically the equivalence of the biased coin flip process to the Dirichlet process with an additional parameter representing the number of trials. A major benefit of the biased 作者: 哀悼 時(shí)間: 2025-3-26 16:20
Mostafa Ahmadi,Mehdi Ramezankhani,Mohsen Kakavand,Mohammad Tahir. Feature vectors obtained using some well-known texture operators were used to feed an SVM classifier. Experiments showed that increasing the number of synthetic samples in the training set can be beneficial for the writer identification task, particularly when there are very few manuscript samples作者: hedonic 時(shí)間: 2025-3-26 17:45 作者: 騷擾 時(shí)間: 2025-3-26 21:04
Saloni Jain,Ashwija Reddy Korenda,Bertrand Camboue ground truth and the prediction. In addition, we reduce the backpropagation time by using a new pooling method called rotated box crop and resize pooling. The proposed method achieved state-of-the-art performance on ICDAR 2017, that is, an f-score of 75.0% and competitive results with f-scores of 作者: 修改 時(shí)間: 2025-3-27 02:31
Kehinde Ayanod applications. The core . library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks. To promote extensibility, . also incorporates a community platform for sharing both pre作者: aerial 時(shí)間: 2025-3-27 06:18
Saloni Jain,Bertrand Camboution Network optimized using Hausdorff loss to obtain the final region boundary. Results on a challenging image manuscript dataset demonstrate that BoundaryNet outperforms strong baselines and produces high-quality semantic region boundaries. Qualitatively, our approach generalizes across multiple d作者: VOC 時(shí)間: 2025-3-27 10:09 作者: 證實(shí) 時(shí)間: 2025-3-27 15:42
Tamirat Abegaz,Boone Phaxai,Bryson Paynechical classification systems. By this combination, we tackle the constraints of our classification process: small dataset, missing modalities, noisy data, and non-English corpus. Our evaluation shows that the multimodal hierarchical system outperforms the unimodal and that the performance of multim作者: 裝飾 時(shí)間: 2025-3-27 20:01
