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Enhanced Model Compression for Lipreading Recognition based on Knowledge Distillation Algorithm by Qianru, Lu, Kuryati, Kipli, Tengku Mohd Afendi, Zulcaffle, Yuan, Liu, Xiangju, Liu, Bo, Wang

“…Therefore, three knowledge distillation compression algorithms are proposed in this paper: Three different knowledge distillation compression algorithms, an offline model compression algorithm based on multi-feature transfer (MTOF), an online model compression algorithm based on adversarial learning (ALON), and an online model compression algorithm based on consistent regularization(CRON) to complete the compression of the Chinese character sequence output by the model. …”
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Enhancement of medical image compression algorithm in noisy WLANS transmission by Algaet, Mustafa Almahdi

“…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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Objective evaluation of speech enhancement using compressive sensing algorithm by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel

“…The CS algorithm, can directly acquire compressed data signals and replace samples by more general measurements of the uniform rate digitization with signal sparsity model. …”
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A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal by A. Tariq, A. Fadil, Shahrul Nizam, Yaakob, R. Badlishah, Ahmad, Prof. Madya Dr., Abid, Yahya, Dr.

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Parallelization of speech compression based algorithm based on human auditory system on multicore system by Gunawan, Teddy Surya, Kartiwi, Mira, Khalifa, Othman Omran

“…To achieve a scalable parallel speech coding algorithm, single program multiple data (SPMD) programming model was used, in which a single program was written for all cores. …”
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Development of a cryptography model based on improved filtering, compression and encryption techniques for ECG signal processing by Hameed, Mustafa Emad

“…This research work proposed a model to combine approaches for ECG denoising, data encoding, and encryption. …”
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Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms by Abdellatief M., Wong L.S., Din N.M., Mo K.H., Ahmed A.N., El-Shafie A.

“…Additionally, parametric and sensitivity analyses were used to assess the performance of the GPR and LR algorithms. Results revealed that density exerted the most significant influence on CS, with the GPR model showing a pronounced negative impact of fine aggregate-to-cement ratio on CS, particularly in low-density FC, contrasting with the LR model. …”

Enhanced Storage Mechanism for Secured Parallel Network File System by K J, Latesh Kumar

“…The proposed techniques resulted synchronous LEASE file locking, capturing of state of locks and layouts, Kerberos secured the pNFS locks and layouts on storage, new algorithm enabled the scalable data compression using data block size compression algorithm and better dynamic data protection using RAID.…”
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Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

“…The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate by Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran

“…The DT model's ability to handle complex, non-linear data relationships made it particularly effective in evaluating concrete strength. …”
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A region-based Principal Component Analysis (PCA) technique for medical image compression by Lim, Sin Ting

“…Principal Component Analysis (PCA) is capable of completely decorrelating input data in the transform domain. However, PCA is limited in image compression because there is a need to encode the eigenvectors of the input data and thereby affects the rate-distortion performance. …”
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Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation by Chen, Qipeng, Xiong, Qiaoqiao, Huang, Haisong, Tang, Saihong, Liu, Zhenghong

“…In response to the current issues of poor real-time performance, high computational costs, and excessive memory usage of object detection algorithms based on deep convolutional neural networks in embedded devices, a method for improving deep convolutional neural networks based on model compression and knowledge distillation is proposed. …”
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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil by Yong, Shirley Xiao Wei

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Fatigue data editing algorithm for automotive applications by Shahrum Abdullah, John R. Yates, Joseph A. Giacornin

“…The accuracy of the algorithm has been evaluated by application to two experimentally measured data sets containing tensile and compressive preloading conditions. …”
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Small-Scale Deep Network for DCT-Based Images Classification by Borhanuddin B., Jamil N., Chen S.D., Baharuddin M.Z., Tan K.S.Z., Ooi T.W.M.

WAVELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS by Chai, Beng Seow

“…It is proved that the algorithm has better compression performance for difference images compared to conventional DCT. …”
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Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers by Siaw Hui, Teo

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Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns by Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman

“…This research work generates new data and applies several machine learning algorithms for the analysis of UCS. …”
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Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System by Gerasimova, Yuliya, Sidi, Fatimah, Abdullah, Lili Nurliyana, Ivel, Victor, Moldakhmetov, Sayat

“…The developed wavelet-based algorithm provides an ECG data compression ratio of about 8:1, ensuring the preservation of diagnostically important signal features. …”
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Handheld devices 3D video streaming compression algorithm / Mohamad Taib Miskon, Hamidah Jantan and Wan Ahmad Khusairi Wan Chek by Miskon, Mohamad Taib, Jantan, Hamidah, Wan Chek, Wan Ahmad Khusairi

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