A Convolutional Neural Network Model to Segment Myocardial Infarction from MRI Images by Zakarya Farea Shaaf, Zakarya Farea Shaaf, Muhammad Mahadi Abdul Jamil, Muhammad Mahadi Abdul Jamil, Radzi Ambar, Radzi Ambar

“…The layers selection and hyper-parameters fine-tuning were applied before the training phase. …”
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A Convolutional Neural Network Model to Segment Myocardial Infarction from MRI Images by Farea Shaaf, Zakarya, Abdul Jamil, Muhammad Mahadi, Ambar, Radzi

“…The layers selection and hyper-parameters fine-tuning were applied before the training phase. …”
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Effect of heating rates on the microstructure and gas permeation properties of carbon membranes by Sazali, Norazlianie, Wan Salleh, Wan Norharyati, Ismail, Ahmad Fauzi, Kadirgama, Kumaran, Moslan, Mohamad Shahrizan, Che Othman, Faten Ermala, Ismail, Nor Hafiza, Samykano, Mahendran, Harun, Zawati

“…A single permeation apparatus was used to determine the gas permeation properties of the membrane at room temperature. Fine turning of the carbonization condition was necessary to obtain the desired permeation properties. …”
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Knowledge-based reactive planning and re-planning – a case-study approach by Djemai, Ramzi, Vassilev, Vassil, Ouazzane, Karim, Dey, Maitreyee

“…Planning for uncertainties arising from indoor evacuations can be complex as there’s a fine balance to strike between a too-detailed plan and one that’s too vague. …”
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H∞ gain-scheduled dynamic output feedback control with transient performance applied to electrical microgrid by Fuentes, R. M., Lacerda, Marcio J., Morais, C. F., Oliveira, R. C. L. F., Palma, J. M.

“…We achieve this by employing changes in variables and congruence transformations, which lead to new synthesis conditions expressed as linear matrix inequalities. Additional fine-tuned scalar parameters can be used to enhance further the controller performance in terms of less conservative H-infinity guaranteed costs. …”
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A Convolutional Neural Network Model to Segment Myocardial Infarction from MRI Images by Zakarya Farea Shaaf, Zakarya Farea Shaaf, Muhammad Mahadi Abdul Jamil, Muhammad Mahadi Abdul Jamil, Radzi Ambar, Radzi Ambar

“…The layers selection and hyper-parameters fine-tuning were applied before the training phase. …”
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Optimisation of tapioca peel powder as natural coagulant in removing chemical oxygen demand, ammonia nitrogen, turbidity, colour, and suspended solids from leachate sample by ., Mohd-Salleh, S. N. A., ., Shaylinda M. Z. N., Othman, N., Yashni, G.

“…After several processes, the next step was to sundry the solution, and grind the dried tapioca peel until it became a fine powder. A series of jar test was carried out to study the optimisation processes by considering the concentration of the solution, the coagulant dosage, and the pH of the wastewater. …”
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Treatment of natural rubber wastewater using oil palm empty fruit bunch, kaolin and zeolite as composite adsorbent by Nasir, Nazlizan

“…The regeneration study achieved three (3) adsorption cycles of the spent composite adsorbent. In conclusion, the present study was able to prove that composite adsorbent is a promising adsorbent for the removal of colour, COD and NH3-N from natural rubber wastewater.…”
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Application of functionally graded materials for severe plastic deformation and smart materials: experimental study and finite element analysis by Jamian, Saifulnizan

“…First, the novel technique in producing ultra fine grain of difficult-to-work materials by equal-channel angular pressing (ECAP) process at ambient temperature was developed by using FGM. …”
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Determinants of online brand communities’ and millennials’ characteristics: a social influence perspective by Ozuem, Wilson, Willis, Michelle, Howell, Kerry, Lancaster, Geoff, Ng, Raye

“…Drawing on social influence theory along with a constructivist perspective, we conducted fine‐grained in‐depth interviews to explore millennials’ participation in online communities and brand perceptions in the fashion industry. …”
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Development of Adaptive Neuro-Fuzzy Inference System to Predict Concrete Compressive Strength by Seyed Hakim, Seyed Jamaldin, Jamaludin, Norwati, Heng Boon, Koh, Mokhtar, Shahrul Niza, Ali Khalifa, Nasradeen, Jamellodin, Zalipah

“…Each dataset was consisting of six input variables that were water, cement, fine and coarse aggregates, silica fume, and superplasticizer. …”
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A new approach for improving cleaning system of air filtration in kitchen hood using liquid mist spray nozzles with non-volatile organic compound by Asmuin, Norzelawati, Osman, Kahar, Mohd Ali, Mas Fawzi, Mat Isa, Norasikin, Sies, Mohd Farid

“…This project aims to implement fine spray technology in kitchen exhaust ventilation cleaning, and to introduce a non-Volatile Organic Compound (VOC) as spray cleaning solvent...…”
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DRY reforming of DRY reforming of methane over stabilized nickel-lanthanum supported on fibrous KCC-1 catalyst methane over stabilized nickel-lanthanum supported on fibrous KCC-1 c... by Abdulrahman A, Abdulrasheed

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Properties and flexural performance of iron ore tailings concrete by Oritola, Sikiru Folahan

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Posttraumatic growth as a discursive resource for managing identity after breast cancer : implications for theory, and counselling psychology practice by Hitchins, Jennifer Marie

“…The analysis highlights the fine grained features of the women's talk as they manage their post-cancer identities discursively negotiating the social and moral obligation to survive well. …”
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Effect of austempering holding time variations of 30, 60, and 90 Minutes at 300 oC on the microstructure and toughness of nodular cast iron by Darmawan, A S, Anggono, A D, Yulianto, A, Febriantoko, B W, Hamid, A

“…After the austempering process, gray fine pearlite and black nodular graphite appeared. …”
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Effect of austempering holding time variations of 30, 60, and 90 minutes at 300 oC on the microstructure and toughness of nodular cast iron by Darmawan, A S, Anggono, A D, Yulianto, A, Febriantoko, B W, Hamid, A

“…After the austempering process, gray fine pearlite and black nodular graphite appeared. …”
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Effect of austempering holding time variations of 30, 60 and 90 minutes at 300 oc on the microstructure and toughness of nodular cast iron by Darmawan, A S, Anggono, A D, Yulianto, A, Febriantoko, B W, Hamid, A

“…After the austempering process, gray fine pearlite and black nodular graphite appeared. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. …”
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