Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection a... by Suvashisa Dash, Satyasis Mishra, Mohammed Siddique, Demissie J. Gelmecha, Ram Sewak Singh

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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…Pattern matching algorithms have gained a lot of importance in computer science, primarily because they are used in various domains such as computational biology, video retrieval, intrusion detection systems, and fraud detection. …”
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Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment by Dilawar Shah, Mohammad Asmat Ullah Khan, Mohammad Abrar

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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

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Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts by Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola

“…A common remedy for most machine learning algorithms is to retain and reuse previously learned models, but the process is time-consuming and computationally prohibitive in nonstationary environments to appropriately select any optimal ensemble classifier capable of accurately adapting to recurring concepts. …”
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A New Self-Assessment “TQM Hybrid MCDM Fuzzy Model” For Enhancing the KPIs in Mega Universities by Abdul Hamid M. Ragab, Amin Y. Noaman, Ahmed A. A. Gad-Elrab, Ezz H. Abdul Fatah

“…Each of these submodels is computed and evaluated analytically. A comparison between them is achieved. …”
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Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

“…The model combines the Deeplabv3+ structure and MobileNetV2 network and adopts the unique spatial pyramid structure of DeeplabV3+ to process convolutional features for multi-scale fusion, which reduces the loss of detail in the mural segmentation images. …”
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A Survey of Task Planning with Large Language Models by Wenshuo Zhai, Jinzhi Liao, Ziyang Chen, Bolun Su, Xiang Zhao

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Beyond the Scoreboard: A Machine Learning Investigation of Online Games’ Influence on Jordanian University Students’ Grades by Mohammad Alshraideh, Abeer Abdel-Jabbar Abu-Zayed, Martin Leiner, Iyad Muhsen AlDajani

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Optimalisasi Presensi Sekolah Berbasis QR Code dengan Metode Rapid Application Development by Eva Rahmawati, Herlambang Brawijaya, Doni Andriansyah, Elly Mufida

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Intelligent detection method for text translation errors based on multi-level textual features and maximum entropy model by Min Huang, Malissa Maria Mahmud, Chin Shuang Goh

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Penerapan Teknik Random Oversampling Untuk Memprediksi Ketepatan Waktu Lulus Menggunakan Algoritma Random Forest by Sri Diantika, Hiya Nalatissifa, Nurlaelatul Maulidah, Riki Supriyadi, Ahmad Fauzi

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A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory by Jiasheng Zhu

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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

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Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks by Chamaka Karunanayake, Miyuru B. Gunathilake, Upaka Rathnayake

“…However, traditional computational models like hydrologic models need many data about the catchment itself. …”
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Near-field extremely large-scale MIMO data rate prediction based on deep learning by Guozhi Rong, Rugui Yao, Yifeng He

“…Abstract The channel matrix dimension of the near-field ultra-large-scale MIMO (Multiple-Input Multiple-Output) system is extremely high due to the significant increase in the number of antennas, thus aggravating the computational and storage burdens, and posing challenges to real-time processing and system resource management. …”
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LoRA fine-tuning of Llama3 large model for intelligent fishery field by Yao Song, Chunli Lv, Kun Zhu, Xiaobin Qiu

“…By doing so, we are able to adapt the model to meet the specific requirements of the fishery domain while significantly reducing computational costs and training time. In the field of fisheries, the Llama3 model fine-tuned by LoRA is used to process and analyze textual data related to fisheries, such as water quality and environmental monitoring, fish behavior analysis, fish farming techniques, and interpretation of fisheries policies. …”
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Latency-Aware Power Management in Software-Defined Radios by Nicolas Malm, Kalle Ruttik, Olav Tirkkonen

“…Measurements show the relationship between the processor’s operating frequency and the number of missed subframe processing deadlines to be nonlinear. …”
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A Streaming High-Throughput Linear Sorter System with Contention Buffering by Jorge Ortiz, David Andrews

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FPGA-Based Real-Time Moving Target Detection System for Unmanned Aerial Vehicle Application by Jia Wei Tang, Nasir Shaikh-Husin, Usman Ullah Sheikh, M. N. Marsono

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