Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Improvements to existing InSAR tools are needed to address this issue. This study develops and evaluates two novel approaches that use multidimensional InSAR products to detect surface displacements in the landslide-prone region of Büyükalan, Antalya. …”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Secondly, 23 spatio-semantic feature indicators are established to encode ship light patterns, and a multi-viewing angle dataset is constructed. …”
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Carapace Morphological Characteristics of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) from Emerging Origins Revealed via Geometric Morphometrics by Wang Zhang, Junren Xue, Li Ma, Jian Yang

“…This study used geometric morphometrics to investigate the carapace features of Chinese mitten crabs (<i>Eriocheir sinensis</i>) from non-traditional/emerging origins (Zhenlai County and Bosten Lake) and identify differences in features relative to crabs from traditional origins (Yangcheng Lake). …”
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Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga. by Christelle Leung, Daphné Grulois, Leandro Quadrana, Luis-Miguel Chevin

“…Phenotypic plasticity, the change in the phenotype of a given genotype in response to its environment of development, is a ubiquitous feature of life, enabling organisms to cope with variation in their environment. …”
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Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort by Yanjie Hao, Dylan Hansen, Worawit Louthrenoo, Yi‐Hsing Chen, Jiacai Cho, Aisha Lateef, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Wu, Sandra Navarra, Leonid Zamora, Zhanguo Li, Sargunan Sockalingam, Yasuhiro Katsumata, Masayoshi Harigai, Lanlan Ji, Zhuoli Zhang, Madelynn Chan, Jun Kikuchi, Tsutomu Takeuchi, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Kristine (Pek Ling) Ng, B. M. D. B. Basnayake, Nicola Tugnet, Naoaki Ohkubo, Yoshiya Tanaka, Cherica Tee, Michael Tee, C. S. Lau, Ning Li, Vera Golder, Alberta Hoi, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour, for the Asia Pacific Lupus Collaboration

“…Conclusion Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. …”
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Liver diseases (<i>Review of the Seventeenth Russian Gastroenterological Week proceedings, October, 10–12, 2011, Moscow</i>) by I. V. Mayev, A. N. Kazyulin, Yu. A. Kucheryavy, Ye. A. Mayevskaya

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DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery by Xu Gao, Wenzhong Shi, Min Zhang, Lukang Wang

“…This method is anticipated to further contribute to AF monitoring and wildfire development pattern analysis.…”
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A review of the FIVA project: Novel windows employing vacuum glazing products by Ulrich J. Pont, Peter Schober, Magdalena Wölzl, Matthias Schuss, Jakob Haberl

“…Four different designs were developed that not only integrated vacuum glass products, but also featured unusual opening patterns, the latest generation of electrically driven fitting products, and specific seals. …”
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FAST Drift Scan Survey for H i Intensity Mapping. II. Stacking-based Beam Construction of the 19-feed Array at 1.4 GHz by Xinyang Zhao, Yichao Li, Wenxiu Yang, Furen Deng, Yougang Wang, Fengquan Wu, Xin Wang, Xiaohui Sun, Xin Zhang, Xuelei Chen

“…Based on the Five-hundred-meter Aperture Spherical radio Telescope (FAST), we employ two sets of drift-scan survey data and merge the measurements to construct the beam patterns of the 19 FAST L -band feeds. To model the beams, we utilize the Zernike polynomial, which effectively captures asymmetric features of the main beam and the different side lobes. …”
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Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines by Qin Li, Nan Lin, Zuheng Wang, Yuexi Chen, Yuli Xie, Xuemei Wang, Jirui Tang, Yuling Xu, Min Xu, Na Lu, Yiqian Huang, Jiamin Luo, Zhenfang Liu, Li Jing

“…This study aimed to analyze pathogen distribution, drug-resistance patterns and develop a novel predictive model for 30-day mortality in HM patients with BSIs. …”
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A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…The process involves extracting features from VGG19, flattening them into vectors, and utilizing them as input for the capsule layer. …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Specifically, the Fingerprint Encoder Network (FEN) processes molecular fingerprints, the Graph Encoder Network (GEN) extracts structural features from graph-based representations, and the Protein Encoder Network (PEN) captures sequential patterns from protein sequences. …”
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Tectonic characteristics and numerical simulation analysis of an arcuate structural belt：A case study of the middle and southern segments of the Red River fault by WANG Chenxu, LI Xi

“…Results  The study reveals: (1) Numerous geomorphic features and fault profiles in the central and southern segments of the Red River fault indicate that most of the faults along the line are predominantly high-angle, northwest-striking with a complex fault rock development. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
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Transumbilical single-site laparoscopic resection of splenic papillary angioendothelioma in a pediatric patient: a rare case report and review of literature by Meng Kong, Meng Kong, Qingfei Zhai, Shisong Zhang, Shisong Zhang, Hongzhen Liu, Hongzhen Liu, Yuexia Bai, Shuai Chen, Shuai Chen, Jinhua Jia, Jinhua Jia, Dong Wang, Xiang Ma

“…In the past half year, there has been no obvious growth and development delay, nor have there been any significant changes in diet or weight. …”
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Identification of WRKY transcription factors in Ipomoea pes-caprae and functional role of IpWRKY16 in sweet potato salt stress response by Jiaying Wu, Yiren Su, Zhiyuan Pan, Yiming Wang, Yongjing Zhang, Ludan Li, Jihong Jiang, Xiaoying Cao

“…Abstract Background WRKY transcription factors are plant-specific and play essential roles in growth, development, and stress responses, including reactions to salt, drought, and cold. …”
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A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
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Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

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