High-Volume Battery Recycling: Technical Review of Challenges and Future Directions by Sheikh Rehman, Maher Al-Greer, Adam S. Burn, Michael Short, Xinjun Cui

“…This paper investigates challenges and proposes innovative solutions for high-volume LIB recycling, focusing on automation for large-scale recycling. Key issues include managing variations in battery design, chemistry, and topology, as well as the availability of sustainable raw materials and low-carbon energy sources for the recycling process. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

“…Transfer learning addresses issues related to data scarcity, while data fusion models integrate information from multiple sources. …”
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Transformer-based ensemble model for dialectal Arabic sentiment classification by Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami

“…Sentiment analysis is crucial for assessing public sentiment toward specific issues; however, applying it to dialectal Arabic presents considerable challenges in natural language processing. …”
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Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks by William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

“…However, its implementation in low-power devices, such as Tiny Machine Learning, faces significant challenges due to the processing, memory, and unstable connectivity limitations that characterize these environments. …”
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Audible Noise Evaluation in Wind Turbines Through Artificial Intelligence Techniques by Mathaus Ferreira da Silva, Juliano Emir Nunes Masson, Murillo Ferreira dos Santos, William Rodrigues Silva, Iuri Wladimir Molina, Gabriel Miguel Castro Martins

“…In recent years, wind power has become a more attractive alternative energy source for overcoming environmental issues. Predictive maintenance is essential for wind power devices to ensure that these systems work reliably and with sufficient availability. …”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…Moreover, centralized data collection and processing methods pose privacy security risks. Federated learning offers a distributed approach that ensures privacy preservation while co-training models. …”
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Underwater image enhancement using hybrid transformers and evolutionary particle swarm optimization by Ajay Kumar, Gagandeep Berar, Manmohan Sharma, Sakshi, Ajit Noonia, Gunjan Verma

“…The proposed framework consists of four main stages: data augmentation, pre-processing, feature extraction using HTN-PSO, and enhanced image reconstruction. …”
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Health disorders in menopausal women: microbiome alterations, associated problems, and possible treatments by Feiyun Lin, Lin Ma, Zhumei Sheng

“…Technological advancements in microbiome analysis, tissue processing, and cell isolation have revolutionized diagnostic and therapeutic approaches, while immune function, socioeconomic factors, and lifestyle choices significantly modulate health outcomes. …”
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Enhancing the Mechanical Characteristics of Eco-Friendly Composite Materials: Taguchi and RSM Optimization by Khalissa Saada, Salah Amroune, Ahmed Belaadi, Moussa Zaoui, Ibrahim M. H. Alshaikh, Djamel Ghernaout

“…Green composites consisting of renewable or biodegradable materials are becoming more popular as environmental awareness of global waste issues grows. Among them, natural composites made of polymers have proven to work exceptionally well because of their high strength, rapid breakdown after disposal, and simplicity in processing using standard techniques. …”
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RT-4M: Real-Time Mosaicing Manager for Manual Microscopy System by Nobuhito Mori, Yoshihiro Miyazaki, Tatsuya Oda, Yasuyuki S. Kida

“…Additionally, the composition process reduces the misalignment rate by a factor of 20 compared to existing software. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…Second, we introduce the semi-supervised learning data augmentation model (SSLDAM), which integrates semi-supervised image processing and pseudo-label generation techniques to effectively overcome the issues of damage, blurriness, and difficulty in discernment in microscopic images, making otherwise unusable images usable. …”
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Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm by Mohammad Reza Komari Alaei, Reza Rostamzadeh, Kadir Albayrak, Zenonas Turskis, Jonas Šaparauskas

“… Scheduling issues are typically classified as constrained optimization problems that examine the allocation of machines and the sequence in which tasks are processed. …”
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Exploring Qualitative Evidence Through a School-Based Intervention: Can Youth Be Empowered Through Writing? by Maria Farella, Ingrid Sladeczek, Danielle Groleau

“…Research indicates that in-school programs are more successful in addressing common mental health issues and promoting well-being. This evaluation study was performed on the Kids Write Network, an expressive writing intervention that aims to facilitate emotional expression and processing by encouraging individuals to address and reassess adverse life events through writing. …”
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Intelligent Control Valve Stiction Diagnosis Approach by Sami El-Ferik, Mustafa Al-Naser, Abrar Al-Amoudi, Abdullatif Al-Najim, Karim Asif Sattar

“…Variations in process variables are one of the major concerns in industrial plants due to their impact on product quality and equipment performance, leading to higher operating and maintenance costs in addition to safety issues. …”
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Efficient Software Development Effort Estimation Approaches for Improving Scalability in the Training Phase by Ho Le Thi Kim Nhung, Petr Silhavy, Radek Silhavy

“…Unlike approaches that depend on randomness or are computationally intensive, CICC uses parallel processing of Jaccard similarity and a refined neighbor-finding technique, K-Reciprocal Nearest Neighbors (KRNN), to identify the most relevant and similar projects as initial centers. …”
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Investigating the Relationship Between Spiritual Health and Identity Styles in Patients Referred to the Baharenko Center by Maryam Momeni

“…Identity styles are also based on socio-cognitive processes, in which people are placed in different situations based on their preferred way of processing information, discussing issues related to identity, and making individual decisions. …”
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Assessing the Biological Safety of Dairy Products with Residual Antibiotics by Olga S. Chaplygina, Oksana V. Kozlova, Maria Yu. Zharko, Andrey N. Petrov

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Ultrasound Acceleration of Milk Fat Separation by Vladimir G. Bliadze, Vladislav Yu. Yaryshev, Alexander L. Nikolaev

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Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture by Thekaa Ali Kadhim, Zaid Ameen Abduljabbar, Hamid Ali Abed AL-Asadi, Vincent Omollo Nyangaresi, Zahraa Abdullah Ali, Iman Qays Abduljaleel

“…This inadvertently introduces a number of vulnerabilities, exposing the collected data to numerous security and privacy threats. To address these issues, massive security solutions have been introduced to secure the communication process in precision agriculture. …”
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FPGA implementation of high throughput encoder and decoder design of lossless canonical Huffman machine by Erna Guguloth, Saidulu Vadtya, Thirumalesu Kudithi, Muni Rathnam Shanmugam, Ashok Nayak Banoth

“…The Canonical Huffman encoder and decoder efficiently handle the multibit characteristics of data compression, significantly reducing memory usage and processing time. The proposed approach processes 160-bit input data, generating a compressed output of 90 bits using variable-length Canonical Huffman codes. …”
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