Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
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Characterization of broadband Wireless LAN channels by Sun, Sumei.

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SimSC: a simple framework for semantic correspondence with temperature learning by Li, X, Han, K, Wan, X, Prisacariu, VA

“…We discover that when fine-tuning ImageNet pre-trained backbone on the semantic matching task, L2 normalization of the feature map, a standard procedure in feature matching, produces an overly smooth matching distribution and significantly hinders the fine-tuning process. …”

Finite element analysis on post-buckling of thin-walled structures using ANSYS by Theint, Yi Mon

“…The results obtained were checked against experimental data and led to the development and the revision of design procedures for the pin-ended lipped column and hollow box section.…”
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Field instrumentation for performance assessment of Geobarrier System by Rahardjo, Harianto, Qian, Zhai, Satyanaga, Alfrendo, Leong, Eng Choon, Wang, Chien Looi, Wong, Johnny Liang Heng

“…The saturated hydraulic conductivity of a coarse-grained material is normally higher than that of a fine-grained material. However, the unsaturated hydraulic conductivity of the coarse-grained material decreases much faster than that of the fine-grained material with increasing matric suction and consequently the coarse-grained material can be less permeable than the fine-grained material in unsaturated condition. …”
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A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs by Natarajan, Pradeep, Shrinivas, Krishna, Chakraborty, Arup K

“…To study the consequences of this mechanism, we developed and studied a dynamical phase-field model. We find that proximal lncRNAs can promote condensate formation at the BL. …”
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Hedonic and non-hedonic bias toward the future by Greene, Preston, Latham, Andrew J., Miller, Kristie, Norton, James

“…While, as predicted, we found first-person hedonic future-bias, we did not find that participants were time-neutral in all other conditions. …”
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Semantic matching in machine reading comprehension: an empirical study by Liu, Qian, Mao, Rui, Geng, Xiubo, Cambria, Erik

“…Matching coarse-grained context to questions, e.g., paragraphs, is more effective than matching fine-grained context, e.g., sentences and spans. …”
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Variational models in martensitic phase transformations with applications to steels by Muehlemann, A

“…We present a new approach to finding inner and outer bounds. </p> <p>In Chapter 4, we focus on highly compatible, so called self-accommodating, martensitic structures and present new results on their fine properties such as estimates on their minimum complexity and bounds on the relative proportion of each martensitic variant in them. …”

Relationship between emotional intelligence and past involvement in co-curricular activity by Tamrin, Adzim Khairunnashier

“…The results suggest that, during secondary school years, participants who were in student associations is correlated to a significantly higher level of EI in later years than participants who took up sports as their CCA. Findings in this study are discussed in reference to the investment model of EI development and the Intentional Change Theory (ICT), followed by limitations faced in this study and directions for future research.…”
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Speech emotion recognition on smart computer : can you tell the mood ? by Shao, Qing

“…The system is designed on MATLAB program based on Artificial Neural Network (ANN) algorithm. The model is developed and improved step by step by model selection. …”
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Exploring quantum discord. by Chong, You Quan.

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A combined numerical and experimental approach to investigations of body-freedom flutter on flying wings by Ang, Elijah Hao Wei

“…The ANN controller offers several advantages over the LQG controller, including the elimination of the need for a Kalman filter for full state estimation and its non-linear nature as a controller.…”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, AHMAD MAHADI, ISMAIL, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, MAHADI, ISMAIL AHMAD, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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Build a Large Language Model (From Scratch) / by Raschka, Sebastian, author 656094

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Technological transmission of knowledge in Neolithic northwestern China: mineralogical and chemical analyses of Yangshao and Majiayao painted ware by Spataro, M, Hein, A

“…The analyses were carried out to detect differences or similarities in the chaînes opératoires of ceramic production at the three sites, in particular, to examine the clay types selected to make the three main categories of wares for which Yangshao and Majiayao are known, namely painted fine wares, burnished fine wares, and unpainted coarse wares. …”

Volatility autocorrelation in the stock market with artificial neural networks by Tham, Zhi Rong

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It's a dog eat dog world: predator prey models of the financial markets. by Choi, Wen Ting.

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Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN) by Wu, Bin.

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