Faktor-faktor yang Berkontribusi Terhadap Problematic Internet Use (PIU) Pada Siswa: Sebuah Systematic Literature Review by Shabrina Muyassirotul 'Aliyah, Diniy Hidayatur Rahman, Henny Indreswari

“…By applying the PRISMA method, research was conducted on scientific articles published in 2013-2023. From the data collection process, 23 articles were obtained that were relevant to the research question from Science Direct, Springer Link, Elsevier, Sage Journals, Wiley Online Library, Taylor and Francis Group, Google Schoolar, Research Gate, APA PsycNet, and PubMed. …”
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Simplifying life cycle Assessment: Basic considerations for approximating product carbon footprints based on corporate carbon footprints by Maximilian Schutzbach, Robert Miehe, Alexander Sauer

“…This model facilitates the approximation of PCFs within the cradle-to-gate system boundary, leveraging existing CCF data. …”
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An EMG-Based GRU Model for Estimating Foot Pressure to Support Active Ankle Orthosis Development by Praveen Nuwantha Gunaratne, Hiroki Tamura

“…EMG signals were collected from four key ankle muscles, and plantar pressures were recorded using a customized sandal-integrated force-sensitive resistor (FSR) system. The data underwent comprehensive preprocessing and segmentation using a sliding window method. …”
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Adaptive FPGA-Based Accelerators for Human–Robot Interaction in Indoor Environments by Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

“…Initially, the control unit processes real-time sensor data through PIR sensors and multiple ultrasonic sensors to analyze the human posture. …”
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Spatial–Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement by Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

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Life cycle assessment of tetrapod concrete armour units by Engy Mikhail, Nisrina Younes, Maryam Al Adab, Al Baraa Tarnini, Serter Atabay, Md Maruf Mortula

“…Energy data for the unit processes is gathered from literature and manufacturers. …”
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Comparison of three one-dimensional time-domain electromagnetic forward algorithms by Frederik Alexander Falk, Anders Vest Christiansen, Thomas Mejer Hansen

“…Accurate, efficient, and accessible forward modeling of geophysical processes is essential for understanding them and for inversion of geophysical data. …”
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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…In order to more accurately estimate the SOC, this paper proposes a prediction method that combines an immune genetic algorithm, gated recurrent unit, and multi-head attention mechanism (MHA), using battery experimental data from the University of Maryland as the dataset. …”
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Performance Analysis of Artificial Intelligence Models for Classification of Transmission Line Losses by Abraham O. Amole, Oluwagbemiga E. Ajiboye, Stephen Oladipo, Ignatius K. Okakwu, Ibrahim A. Giwa, Olamide O. Olusanya

“…Twelve (12) transmission lines were examined, and the collected data were subjected to comprehensive preprocessing, feature engineering, and modeling. …”
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Seepage behavior assessment of earth-rock dams based on Bayesian network by Lu He, Shijun Wang, Yanchang Gu, Qiong Pang, Yunxing Wu, Jiefa Ding, Jihao Yan

“…Seepage behavior assessment is an important part of the safety operation assessment of earth-rock dams, because of insufficient intelligent analysis of monitoring information, abnormal phenomena or measured values are often ignored or improperly processed. To improve the intelligent performance of the monitoring system, this article has established an assessment framework covering project quality, maintenance status, monitoring data analysis, and on-site inspection based on the relevant norms of seepage safety assessment of earth-rock dams and the expert survey scoring method, and the Leaky Noisy-OR Gate extended model were used to determine the probability of events, and the dynamic and static Bayesian networks used to assess the possibility of seepage failure of earth-rock dams and diagnose the most likely cause of failure. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Specifically, we propose a deep learning-based framework for multi-class abnormal gait recognition, comprising three key modules: data collection, data preprocessing, and gait classification. …”
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Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. To overcome the von Neumann bottleneck, compact and light-weight logic-in-memory (LiM) implementations of Boolean logic gates based on emerging non-volatile memory (e-NVM) such as RRAMs, PCM, STT-MRAMs, etc were proposed recently. …”
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A Hybrid Dropout Method for High-Precision Seafloor Topography Reconstruction and Uncertainty Quantification by Xinye Cui, Houpu Li, Yanting Yu, Shaofeng Bian, Guojun Zhai

“…The model integrates residual blocks, squeeze-and-excitation (SE) modules, and a multi-scale feature extraction network while employing Monte Carlo Dropout (MC-Dropout) alongside heteroscedastic noise modeling to dynamically gate the uncertainty quantification process. By adaptively modulating the regularization strength based on feature activations, the model preserves high-frequency information and accurately estimates predictive uncertainty. …”
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Life cycle assessment of a straw-based fiberboard without binders produced at laboratory scale by Hanna Sofia Leiter, Felix Neudecker, Daniela Groiß-Fürtner, Wolfgang Gindl-Altmutter, Andreas Windsperger, Franziska Hesser

“…The assessment adopts a cradle-to-gate approach, covering raw material extraction and the individual production processes of the fiberboard. …”
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Edge Computing Application-Specific Integrated Circuit With Two Serial Communication Protocols and a Backpropagation Neural Network by Guo-Ming Sung, Sachin D. Kohale, Chao-Yu Chen, Ying-Tzu Lai

“…A 25LC640 EEPROM memory microchip is mounted externally on the ASIC and stores the BPNN model, training data, and adjustable weights. The BPNN model is constructed using the inverse transfer algorithm, and this model’s training process is optimized by employing the stochastic gradient descent method. …”
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ML-Driven Transistor Self-Heating Analysis From TCAD to Large IP Circuits by Simon Thomann, Nico Mayr, Albi Mema, Hussam Amrouch

“…To mitigate the increasing short-channel effects of miniaturization, the channel is wrapped increasingly with gate metal and insulating oxides to improve electrostatic control while worsening self-heating. …”
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Adaptive management approach – Kansas City success story by Saša Tomić

“…This process enables cost-effective decision-making aligned with Consent Decree compliance by managing the uncertainties in sewer system data and the interdependency of proposed project outcomes. …”
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Prevalence of metabolic dysfunction‐associated steatotic liver disease in people living with HIV and on antiretroviral treatment: A systematic review and meta‐analysis protocol by Amogelang Sedibe, Khanyisa Maswanganyi, Nomusa C. Mzimela, Mlindeli Gamede

“…Three independent reviewers will conduct the selection process and select studies that meet the eligibility criteria. …”
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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis by D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh

“…By providing a framework for developing affective AI systems that can decode human emotion from intricate multimodal features, the study lays the groundwork for future research into further processing of such data streams in the longer term, including real-time processing, domain-specific adjustments, and extending the analysis to the addition of multi-channel sensor input combining physiological and temporal data streams.…”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

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