April Issue (2026)
Vol. 3 No. 1 (2026)
Volume 3, Issue 1 of the Emerging Technologies and Engineering Journal (a DOAJ-indexed publication) presents a diverse collection of high-quality research spanning artificial intelligence, control systems, renewable energy, robotics, and sustainable engineering. This issue features innovative studies including a hybrid deep learning model for early brain tumour detection, advanced methodologies integrating TRIZ and Lean Six Sigma for wave energy systems, and novel control strategies such as Integral-PID-like Sliding Mode Control (IPS) and simplified SMC for robotic applications. Additionally, it highlights sustainable solutions through optimized biogas production using anaerobic co-digestion and fuzzy logic techniques. Together, these contributions reflect the journal’s commitment to advancing interdisciplinary engineering research and addressing real-world technological challenges.
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