Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…This study focuses on advancing air quality prediction in India through the application of cutting-edge deep learning techniques, specifically the Stacked Bidirectional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN) architecture. …”
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Advancements in Intelligent Sensing Technologies for Food Safety Detection by Wenhui Jiang, Changhong Liu, Wei Liu, Lei Zheng

“…It also presents current challenges and development trends associated with intelligent sensing technologies in food safety, including novel sensing materials, edge-cloud computing frameworks, and the co-design of energy-efficient algorithms with hardware architectures. …”
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THE SUCCESS OF SATELLITE GRAVIMETRY IN GEOPHYSICAL INVESTIGATIONS by Ahmad Alhassan, Okoro Ernest chidi, Mohammed Auwal Adamu, Salisu Tata, Muhammad Shettima Nur, Auwal Aliyu, Yusuf Abdulhameed

“…Satellites have been used for data acquisition for years and have recorded a great success in numerous ways. This paper presents the principle of operation of such satellites. …”
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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…In order to address a problem using CNN utilizing quantum computing, Quantum Convolutional Neural Network (QCNN) proposes a novel quantum solution or enhances the functionality of an existing learning model in terms of processing time during training. …”
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Comprehensive Insights into Smart Contracts: Architecture, Sectoral Applications, Security Analysis, and Legal Frameworks by Farah Mazlan, Nur Faizah Omar, Nik Nor Muhammad Saifudin Nik Mohd Kamal, Ahmad Anwar Zainuddin

“…Furthermore, integrating smart contracts with cutting-edge technologies like machine learning and artificial intelligence could improve decision-making and accelerate operations in a variety of sectors. …”
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Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach by Vasileios Xezonakis, Olusegun David Samuel, Christopher Chintua Enweremadu

“…The first implementation of the simultaneous adoption of three types of ANNs using Levenberg–Marquardt (LM), Bayesian regularisation (BR), and scaled conjugate gradient (SCG) configurations for training and assessing a combined cycle power plant output is presented. The dataset used in this research is a 9568-unit full combined cycle power plant basis load dataset, accessible through the public UCI Machine Learning Repository. …”
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Phoneme-Aware Hierarchical Augmentation and Semantic-Aware SpecAugment for Low-Resource Cantonese Speech Recognition by Lusheng Zhang, Shie Wu, Zhongxun Wang

“…The framework offers a practical, model-independent path toward accurate ASR for Cantonese and other low-resource tonal languages. This paper presents an intelligent sensing-oriented modeling framework for speech signals, which is suitable for deployment on edge or embedded systems to process input from audio sensors (e.g., microphones) and shows promising potential for voice-interactive terminal applications.…”
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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer by WEI Pengyu, GAO Jiale, JI Maotong, TAN Yuanyuan, YAO Hongwei

“…This article comprehensively reviewed the current clinical application status of right hemicolectomy in China, thoroughly examined the clinical necessity and technical feasibility of constructing an intelligent surgical assessment system, and systematically presented our center’s cutting-edge research achievements in this field. …”
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The power of human-like virtual-influencer-generated content: Impact on consumers’ willingness to follow and purchase intentions by Warinrampai Rungruangjit, Kulachet Mongkol, Intaka Piriyakul, Kitti Charoenpornpanichkul

“…Using a combination of cutting-edge AI technologies, in a novel application of computer vision algorithms, and large language models to extract the content posted by two popular human-like VIs on Instagram, the present study is the first to categorize and classify types of human-like virtual-influencer-generated content. …”
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Amplification of Chiral Raman Scattering: A Review of Resonance Raman Optical Activity and Surface Enhanced Raman Optical Activity by Guojie Li, Ying Wang, Haipeng Lu, Zhifeng Huang

“…Importantly, the cutting‐edge methods aimed at amplifying ROA signals and sensitivity is highlighted by means of resonance and surface‐enhanced approaches. …”
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A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation by Fujun Qiu, Ashwini Kumar, Jiang Hu, Poorva Sharma, Yu Bing Tang, Yang Xu Xiang, Jie Hong

“…This article explains how to establish a highly linked infrastructure to support cutting-edge services and ensure greater flexibility and efficiency. …”
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Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation by Dah-Jing Jwo, Yi Chang, Yun-Han Hsu, Amita Biswal

“…By integrating cutting-edge reinforcement learning with robust statistical approaches, this work advances adaptive signal processing and estimation, offering a significant contribution to the field.…”
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Metaverse-based education for sustainable development and improving the performance: Discussing the future research agenda by Rita Roy, G Appa Rao, Debajyoti Pal, Sesetti Anuradha, Subhodeep Mukherjee

“…In the last few years, the uptake of cutting-edge technologies in the education system has been expedited, mainly as a reaction to the disruption caused by the COVID-19 pandemic. …”
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Editorial by Sorana D. BOLBOACĂ, Sebastian-Aurelian ȘTEFĂNIGĂ, Mircea-Sebastian ȘERBĂNESCU

“…RoMedINF's multifaceted approach to knowledge dissemination, featuring keynote speeches, oral presentations, poster sessions, and demonstrations, fosters an environment of active learning and engagement. …”
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AI-powered visual E-monitoring system for cattle health and wealth by Aung Si Thu Moe, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…The livestock industry is experiencing a major transformation through the integration of artificial intelligence (AI) and advanced visual e-monitoring technologies. This study presents an AI-powered cattle health monitoring system that combines real-time computer vision, edge computing, and mobile applications to enhance animal welfare and farm productivity. …”
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PyNET-Q×Q: An Efficient PyNET Variant for Q×Q Bayer Pattern Demosaicing in CMOS Image Sensors by Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Albert No

“…Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. …”
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DualCMNet: a lightweight dual-branch network for maize variety identification based on multi-modal feature fusion by Xinhua Bi, Hao Xie, Ziyi Song, Jinge Li, Chang Liu, Xiaozhu Zhou, Helong Yu, Chunguang Bi, Ming Zhao

“…Additionally, existing multimodal methods face high computational complexity, making it difficult to balance accuracy and efficiency.MethodsBased on multi-modal data from 11 maize varieties, this paper presents DualCMNet, a novel dual-branch deep learning framework that utilizes a one-dimensional convolutional neural network (1D-CNN) for hyperspectral data processing and a MobileNetV3 network for spatial feature extraction from images. …”
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An automatic method for estimating insect defoliation with visual highlights of consumed leaf tissue regions by Gabriel S. Vieira, Afonso U. Fonseca, Naiane Maria de Sousa, Julio C. Ferreira, Juliana Paula Felix, Christian Dias Cabacinha, Fabrizzio Soares

“…A classic pattern recognition approach, named template matching, is at the core of the method whose performance is compared to cutting-edge techniques. Results demonstrated that the method achieves foliar damage quantification with precision comparable to deep learning models. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…This article aims to present a comprehensive study of the existing advanced research views for CNNs and ViTs in scene recognition. …”
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Pathways to Criminal Hacking: Connecting Lived Experiences with Theoretical Explanations by Melissa Martineau, Elena Spiridon, Mary Aiken

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