Improving Freedom of Visually Impaired Individuals with Innovative EfficientNet and Unified Spatial-Channel Attention: A Deep Learning-Based Road Surface Detection System by Amit Chaudhary, Prabhat Verma

“…Through rigorous training and evaluation on a substantial dataset of road images, our modified system exhibited remarkable performance, accurately identifying road surfaces with an impressive 99.39% accuracy rate. This deep learning-driven approach holds promise as a pivotal tool for improving the autonomy and safety of individuals with visual challenges by providing instantaneous feedback on road conditions.…”
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Effects of fresh and fermented olive oil solid waste on nitrogen use efficiency in wheat: A dataset(Mendeley Data). by Abd Al Karim Jaafar, Akram Al-Balkhi, Andrés Rodríguez-Seijo

“…Olive Oil Solid Waste (OSW) is a valuable agricultural by-product that can be used as a source of organic matter and nutrients for crops. However, the efficiency of OSW in providing nitrogen to plants depends on its decomposition rate and how nitrogen is available. …”
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A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System by Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

“…This study investigates the ability of well-known deep learning models, such as ResNet and EfficientNet, to perform audio-based infant cry detection. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…Abstract The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. …”
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Challenges and Practices Identification via a Systematic Literature Review in the Adoption of Green Cloud Computing: Client’s Side Approach by Ashfaq Ahmad, Siffat Ullah Khan, Habib Ullah Khan, Ghulam Murtaza Khan, Muhammad Ilyas

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Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

“…In such settings, both the accuracy and efficiency of existing methods are notably limited. …”
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Efficient MMSE-SQRD-Based MIMO Decoder for SEFDM-Based 2.4-Gb/s-Spectrum-Compressed WDM VLC System by Yiguang Wang, Yingjun Zhou, Tao Gui, Kangping Zhong, Xian Zhou, Liang Wang, Alan Pak Tao Lau, Chao Lu, Nan Chi

“…A spectrally efficient frequency division multiplexing (SEFDM) modulation has been proposed to improve system spectral efficiency, particularly for bandwidth-limited visible-light communication (VLC) systems. …”
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Research on the Risk Management of Supply Chain Risk, Exchange Rate Risk and Economic Recession Risk in Business Organizations by Huang Leyan

“…After COVID-19, the economy has become more fluctuating and is exposed to more kinds of risks, such as supply chain risk, exchange rate risk, and economic downturn risk. To maintain a relatively stable position under all kinds of risks, it’s important for firms to develop efficient and useful risk management strategies. …”
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Mild water deficit during maturity reduces cracking rate of greenhouse muskmelon while improving fruit quality by Qimin Xue, Hao Li, Taisheng Du

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Evaluation of the Impact of the Transparent Component on the Energy Loads and Thermal Comfort Conditions in Different Climatic Regions by Seda Yüksel, Gülten Manioğlu

“…As cooling and heating demands of buildings constitute a majority of the energy consumed, energy efficient buildings in which comfort conditions are achieved have become important. …”
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Efficient management of neonatal sepsis diagnosis using predictive analytics methods: a scoping review by KVKL Narasimha Rao, Pradeep Kumar Dadabada, Sanjita Jaipuria

“… Neonatal sepsis is a critical and life-threatening condition that significantly contributes to the high rates of illness and death among newborns, particularly in low- and middle-income countries (LMICs). …”
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Focal Cosine-Enhanced EfficientNetB0: A Novel Approach to Classifying Breast Histopathological Images by Min Liu, Yuzhen Pei, Minghu Wu, Juan Wang

“…Early and accurate breast cancer diagnosis is critical in enhancing patient survival rates, with histopathological image analysis serving as a key diagnostic tool. …”
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Adaptive Jamming Mitigation for Clustered Energy-Efficient LoRa-BLE Hybrid Wireless Sensor Networks by Carolina Del-Valle-Soto, Leonardo J. Valdivia, Ramiro Velázquez, José A. Del-Puerto-Flores, José Varela-Aldás, Paolo Visconti

“…Through extensive experimental validation, we demonstrate that our mitigation mechanism reduces energy consumption by up to 38% and lowers packet retransmission rates by 47% compared to single-protocol networks under jamming conditions. …”
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Navigating Energy Efficiency and Mould Risk in Australian Low-Rise Homes: A Comparative Analysis of Nine External Wall Systems in Southeast Australia by Liqun Guan, Mark Dewsbury, Louise Wallis, Hartwig Kuenzel

“…As energy-efficient buildings become central to climate change mitigation, the opportunity for interior and interstitial moisture accumulation and mould growth can increase. …”
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Review on Unidirectional Non-Isolated High Gain DC–DC Converters for EV Sustainable DC Fast Charging Applications by R. Venugopal, Balaji Chandrasekar, A. Dominic Savio, R. Narayanamoorthi, Kareem M. Aboras, Hossam Kotb, Yazeed Yasin Ghadi, Mokhtar Shouran, Elmazeg Elgamli

“…A detailed study on the components count, voltage stress on the controlled and uncontrolled switches, voltage gain obtained, output voltage, power rating of the converters, switching frequency, efficiency obtained, and issues associated with the selected topologies are presented. …”
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Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

“…This research underscores the significance of optimizing key features to enhance natural cooling and ventilation, contributing to sustainable climate control solutions and providing an interpretable, robust model for predicting ventilation rates in energy-efficient buildings.…”
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The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks by Han Lu, Sandra Diaz-Pier, Maximilian Lenz, Andreas Vlachos

“…In summary, homeostatic synaptic scaling and homeostatic structural plasticity dynamically compete and compensate for each other, ensuring efficient and robust control of firing rate homeostasis.…”
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Flow Rate-Driven Morphology Evolution of Chemical Vapor Deposited WS₂ at Varying Temperatures by Himal Pokhrel, Sanjay Mishra, Shawn Pollard

“…However, achieving an efficient and cost-effective method for synthesizing large-area uniform WS₂ is still challenging. …”
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Towards a Model-Based Methodology for Rating and Monitoring Wear Risk in Oscillating Grease-Lubricated Rolling Bearings by Arne Bartschat, Matthias Stammler, Jan Wenske

“…Currently, there are no methods for rating this risk based on existing standards. This work develops an empirical methodology for assessing and quantifying the risk of wear damage. …”
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Experimental investigation of air velocity, water flow rate, and staging of cooling pad on the performance of direct evaporative coolers by Tazebew Dires Kassie, Yaregal Eneyew Bizuneh, Amare Merfo Amsal

“…Abstract In hot and dry climates, improving air cooling efficiency is vital for reducing energy consumption and enhancing indoor comfort. …”
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