Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition by Babak Abbaschian, Adel Elmaghraby

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A Systematic Review on Object Localisation Methods in Images by Deisy Chaves, Surajit Saikia, Laura Fernández-Robles, Enrique Alegre, Maria Trujillo

“…This is the case of visual inspection in the industry, computer-aided clinical diagnostic systems, the obstacle detection in vehicles or in robots, among others. …”
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PRINCIPLES OF RE-ENGINEERING METHODOLOGY FOR TECHNOLOGICAL PROCESS IN PROCESSING OF RAW MATERIAL COMPONENTS WHILE PRODUCING CEMENT AND SILICATE PRODUCTS by I. A. Busel, P. I. Busel

“…The paper studies an automation concept of the control system which used for grinding process of mineral raw material. …”
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MRSEILA: A modified remote sensing ecological index using local adaptability for enhancing ecological environment quality assessment by Yingzhang Guo, Mingjin Zhan, Hanzeyu Xu, Xiao Li, Junjun Fang, Xingchen Zhou, Dan Lin, Wenhui Chen

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Progressive Pruning of Light Dehaze Networks for Static Scenes by Byeongseon Park, Heekwon Lee, Yong-Kab Kim, Sungkwan Youm

“…Our method paves the way for more accessible image dehazing systems, enhancing visibility in various real-world hazy conditions while optimizing computational resources for fixed camera setups.…”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…The results, evaluated on standard DeepShip and ShipsEar datasets, show that the proposed model achieved a classification accuracy of 97.98 % and 99.19 % while utilizing just 1.90 million parameters, outperforming other models such as ResNet18 and UATR-Transformer in terms of both accuracy and computational efficiency. This work offers an improvement to the development of efficient marine vessel classification systems for underwater acoustics applications, demonstrating that high performance can be achieved with reduced computational complexity.…”
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Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection by Mohammad Sakif Alam, Anwar Hossain Efat, SM Mahedy Hasan, Md Palash Uddin

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Editorial for Vol. 35, No. 2 by Juwon Lim

“…A design effort with 10 senior captains proposes multi-parameter auditory alerts and automatic goaround logic, projected to avert 26% of unstable-approach accidents. …”

Energy Distribution Optimization in Heterogeneous Networks with Min–Max and Local Constraints as Support of Ambient Intelligence by Alessandro Aloisio, Domenico D. Bloisi, Marco Romano, Cosimo Vinci

“…However, designing such networks presents challenges due to varying communication protocols, power limitations, and the computational capacities of connected devices. This paper introduces a novel approach that leverages multi-interface networks to design a heterogeneous wireless network supporting AmI systems within the IoT ecosystem. …”
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A Survey of Grapheme-to-Phoneme Conversion Methods by Shiyang Cheng, Pengcheng Zhu, Jueting Liu, Zehua Wang

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An Efficient Cryptosystem for Video Surveillance in the Internet of Things Environment by Rafik Hamza, Alzubair Hassan, Teng Huang, Lishan Ke, Hongyang Yan

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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

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Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments by Atif Rehman, Rimsha Ghias, Iftikhar Ahmad, Hammad Iqbal Sherazi

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Statistical Software Usability for Novice Research Students in the Social Sciences: An Eye-Tracking Study by Sedigheh Abbasnasab Sardareh, Gavin T. L. Brown, Paul Denny

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A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

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Discovering hierarchical process models: an approach based on events partitioning by Antonina K. Begicheva, Irina A. Lomazova, Roman A. Nesterov

“…Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. …”
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Application of Diverse Testing to Improve Integrated Circuit Test Yield and Quality by Chung-Huang Yeh, Shou-Rong Chen, Kan-Hsiang Liao

“…Furthermore, according to the wafer estimation table published in the IEEE International Roadmap for Devices and Systems (2023), the proposed DTM can effectively enhance the test yield of wafers and improve the testing capabilities of ATE testers (automatic test equipment). …”
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Using RPA for data generation using OCR platforms in Mediterranean University of Albania by Gerild Qordja

“… The increase in the amount of data today has led to the use of computer applications in order to manage processes precisely. …”
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Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…These contributions provide transit agencies with a computationally efficient tool for optimizing service frequency, mitigating crowding, and improving network resilience.…”
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An Enhanced Residual Architecture for Automated Detection of Bone Metastasis on Whole-Body SPECT Images by Jianwei Li, Yusheng Hao, Qiang Lin, Yongchun Cao, Zhengxing Man, Weilan Wang

“…To address the challenges of physicians dedicating considerable time and effort to analyzing SPECT images, as well as the overly complex preprocessing steps in existing automatic diagnosis systems, an enhanced residual model that is better suited for clinical applications was proposed in this work. …”
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