ECG signal generation and heart rate variability signal extraction : signal processing, features detection, and their correlation with cardiac diseases by Swapna, Goutham, Martis, Roshan Joy, Sree, Subbhuraam Vinitha, Ghista, Dhanjoo N., Ang, Alvin P. C.

“…In order to extract the important features of the ECG signal, the detection of the P wave, QRS complex, and ST segment is essential. Therefore, abnormalities of these ECG parameters are associated with cardiac disorders. …”
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A platform-based product family design methodology for leverage differentation and cost benefits by Cai, Yanling

“…This thesis proposes an integrated framework within the scenario of market segmentation, which decides the inter-platform leverage against platform differentiation and the intra-platform design towards the minimal production cost.…”
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The 2005 PASCAL visual object classes challenge by Everingham, M, Zisserman, A, Williams, CKI, Van Gool, L, Allan, M, Bishop, CM, Chapelle, O, Dalal, N, Deselaers, T, Dorkó, G, Duffner, S, Eichhorn, J, Farquhar, JDR, Fritz, M, Garcia, C, Griffiths, T, Jurie, F, Keysers, D, Koskela, M, Laaksonen, J, Larlus, D, Leibe, B, Meng, H, Ney, H, Schiele, B, Schmid, C, Seemann, E, Shawe-Taylor, J, Storkey, A, Szedmak, S, Triggs, B, Ulusoy, I, Viitaniemi, V, Zhang, J

“…The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. …”

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. …”
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Takaful Business Model and Business Performance: A Comparative Evidence from the Global Takaful Industry by Muhammad Zuki, Mohd Faizuddin, Ishak, Muhammad Arif Fadilah, Halim Roja, Muhammad Izzuddin

“…This paper bids its originality by narrowing down the segment of the takaful industry and focusing only on the family takaful segment…”
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Marketing products and services in the dynamic environment. by Chan, Cindy Li Xia., Chye, Nyit Fhen., Poh, Hui Ting.

“…Recognizing that the B2B segment still reigns as Ark Industries‟ substantial revenue driver, we have invested concerted effort into developing its comparative edge, especially since Quirky is maneuvering in a market where the product offerings are fairly homogeneous. …”
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Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction by Chen, Xinsong, Sifakis, Emmanouil G., Robertson, Stephanie, Neo, Shi Yong, Jun, Seong-Hwan, Tong, Le, Tay, Apple Hui Min, Lövrot, John, Hellgren, Roxanna, Margolin, Sara, Bergh, Jonas, Foukakis, Theodoros, Lagergren, Jens, Lundqvist, Andreas, Ma, Ran, Hartman, Johan

“…The accuracy was further supported by the correlation between WTC-based test results and patients' clinical responses in a separate validation study, where the neoadjuvant treatment regimens of 15 BC patients were mimicked. Collectively, the WTC model allows us to accomplish personalized drug testing within 10 d, even for small-sized tumors, highlighting its potential for individualized BC therapy. …”
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Hepatic effects of prolonged oral administration of Aqueous extracts from Trigonella foenum-graecum (Fenugreek) seeds explored through pathology techniques by Okorie, Nnaemeka, Ibe, Onyekachi Ewa, Okekpa, Simon Imakwu, Nwakpa, Anthony Chukwudi, Agom, Dansy Daniel, Pauline, Iyke-Ogbo, Adaeze, Obi Laura, Mmesomachi, Uche Bethel, Nyirahafashimana, Valentine, Obi, Ihuoma A.

“…Materials and methods: Thirty-five Norvegicus rattus weighing 150-200g were randomly assigned to five groups, with each subjected to distinct dietary regimens containing 2%, 4%, 6%, and 8% Trigonella foenum-graecum, and a control group. …”
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Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Therefore, I designed a muscle segmentation technique which is capable of differentiating muscle and debris regions. …”
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Hoteliers' perception of corporate crisis and crisis management in the Singapore hotel industry. by Chen, Jian Hao., Lee, Wei Lin., Ng, Yvonne Pei Ling.

“…This report looks at the perceptions of corporate crisis of four local hoteliers belonging to the 5-star, luxury hotel segment in the local industry, and their hotels’ crisis management plans. …”
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Professional Attachment Report [with] Nanjing Spark plug factory (subsidiary of the Nanjing electroceramics factory). by Moy, Loh Cheak.

“…The contents have been accordingly segmented and can be referred from the Table Of Contents. …”
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Developing an Android application for medical imaging visualisation workflows by Low, Gabriel Zhi You

“…This Final Year Project focuses on the design and development of the Android application, and the integration of and improvements made to the existing frontend react web application, that allows users to view DICOM images, modify segmentation masks, and generate reports, with the aid of the existing PACS and backend server. …”
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Road sign recognition for assisting drivers by Poon, Wai Chung

“…In this paper, color segmentation is applied in YCbCr color space and shape detection is processed through blob analysis method. …”
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An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure by Seo, Bokyoung, Jung, Jueun, Han, Donghyeon, Lee, Kyuho

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Last-Meter Delivery: Solving the Unattended Delivery Challenge from Streets to Doorsteps by Xiao, Wen-Xin

“…KEYWORDS: Last-Mile Delivery, last-meter Delivery, Large Language Models (LLM), Vision Language Models (VLM), Robotics, Segment Anything Model (SAM), Open-Vocabulary Object Detection (OVD).…”
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Self-pretraining of 3D transformer variations with masked autoencoders for multiple instances in medical image analysis by Li, Linyuan

“…My experimental results show that self-supervised pre-training based on MAE markedly improves diverse downstream tasks including MRI brain tumor segmentation, abdominal CT multi-organ segmentation, chest X-ray disease classification and breast cancer detection.…”
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A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar by Zuo, Jia

“…In prior research, some studies have leveraged Long Short-Term Memory (LSTM) networks or one-dimensional Convolutional Neural Networks (1D CNNs) for waveform segmentation, with limited success in recovering high-resolution waveforms. …”
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Computer aided diagnoses for detecting the severity of Keratoconus by Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq

“…The method had four main steps: preprocessing, image segmentation, morphological processing, and pathological ratio calculation. …”
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Task-space adaptive control of robot manipulator by Ng, Tian Seng.

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AI based intelligent transportation system for smart nations: B by Cheng, Joey Xuan Yun

“…These results were obtained after processing of the video footages using various Image Segmentation and Image Enhancement techniques. An Automatic Incident Detection system was also built to alert users of any unusual traffic activity detected. …”
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